Micro-Star International Co., Ltd. Claw A8 BZ2EM
Geekbench AI Score
4225
Single Precision Score
4242
Half Precision Score
10948
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 10:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2477
460.6 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.9 IPS |
|
|
Image Classification (Q)
|
100% |
7138
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8092
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5668
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5454
6.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
21770
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
2504
198.6 IPS |
|
|
Object Detection (Q)
|
88% |
7099
569.1 IPS |
|
|
Face Detection (SP)
|
100% |
6445
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
6358
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
18074
214.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6932
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7038
54.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
18261
142.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15430
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15115
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
53363
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2976
109.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9962
368.9 IPS |
|
|
Text Classification (SP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2547
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3586
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4405
75.9 IPS |
