Micro-Star International Co., Ltd. Claw A8 BZ2EM
Geekbench AI Score
2857
Single Precision Score
1504
Half Precision Score
6820
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 10:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Z2 Extreme |
| 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 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
99% |
6289
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8017
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4536
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
18479
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
86% |
5670
455.7 IPS |
|
|
Face Detection (SP)
|
100% |
4942
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
9220
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6319
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2216
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13635
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11437
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9851
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26705
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1511
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2328
46.8 IPS |
