Micro-Star International Co., Ltd. Claw A8 BZ2EM
Geekbench ML Score
3084
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 09:59 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw A8 BZ2EM |
| Motherboard | Micro-Star International Co., Ltd. MS-1T8K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z2 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1483
277.6 IPS |
|
|
Image Classification (F16)
|
100% |
1417
265.2 IPS |
|
|
Image Classification (I8)
|
99% |
3238
605.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2407
40.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4593
5.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
4856
5.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
18651
22.6 IPS |
|
|
Object Detection (F32)
|
100% |
1531
114.3 IPS |
|
|
Object Detection (F16)
|
100% |
1668
124.5 IPS |
|
|
Object Detection (I8)
|
62% |
1693
126.4 IPS |
|
|
Face Detection (F32)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (F16)
|
100% |
2881
34.3 IPS |
|
|
Face Detection (I8)
|
89% |
4900
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5649
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5858
45.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13727
106.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11301
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11940
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
24474
32.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2047
73.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2209
78.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3443
123.0 IPS |
|
|
Text Classification (F32)
|
100% |
1377
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
1375
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1213
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1963
36.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1984
36.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2570
47.3 IPS |
