Fixed TFlops estimate for Intel Battlemage GPUs

Author: ProjectPhysX

src/opencl.hpp

@@ -130,7 +130,7 @@ struct Device_Info {
 		const bool nvidia_64_cores_per_cu = contains_any(to_lower(name), {"p100", "v100", "a100", "a30", " 16", " 20", "titan v", "titan rtx", "quadro t", "tesla t", "quadro rtx"}) && !contains(to_lower(name), "rtx a"); // identify P100, Volta, Turing, A100, A30
 		const bool amd_128_cores_per_dualcu = contains(to_lower(name), "gfx10"); // identify RDNA/RDNA2 GPUs where dual CUs are reported
 		const bool amd_256_cores_per_dualcu = contains(to_lower(name), "gfx11"); // identify RDNA3 GPUs where dual CUs are reported
-		const bool intel_16_cores_per_cu = contains_any(to_lower(name), {"gpu max", "140v", "130v"}); // identify PVC/Xe2 GPUs
+		const bool intel_16_cores_per_cu = contains_any(to_lower(name), {"gpu max", "140v", "130v", "b580", "b570"}); // identify PVC/Xe2 GPUs
 		const float nvidia = (float)(contains(to_lower(vendor), "nvidia"))*(nvidia_64_cores_per_cu?64.0f:nvidia_192_cores_per_cu?192.0f:128.0f); // Nvidia GPUs have 192 cores/CU (Kepler), 128 cores/CU (Maxwell, Pascal, Ampere, Hopper, Ada) or 64 cores/CU (P100, Volta, Turing, A100, A30)
 		const float amd = (float)(contains_any(to_lower(vendor), {"amd", "advanced"}))*(is_gpu?(amd_256_cores_per_dualcu?256.0f:amd_128_cores_per_dualcu?128.0f:64.0f):0.5f); // AMD GPUs have 64 cores/CU (GCN, CDNA), 128 cores/dualCU (RDNA, RDNA2) or 256 cores/dualCU (RDNA3), AMD CPUs (with SMT) have 1/2 core/CU
 		const float intel = (float)(contains(to_lower(vendor), "intel"))*(is_gpu?(intel_16_cores_per_cu?16.0f:8.0f):0.5f); // Intel GPUs have 16 cores/CU (PVC) or 8 cores/CU (integrated/Arc), Intel CPUs (with HT) have 1/2 core/CU