Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
3114
Single Precision Score
22619
Half Precision Score
34206
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 07:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw 8 AI+ A2VM |
| Motherboard | Micro-Star International Co., Ltd. MS-1T52 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (HP)
|
100% |
11524
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
16152
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15896
257.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30528
494.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
100348
117.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
201271
235.8 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
15638
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
21955
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
5275
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
27977
332.4 IPS |
|
|
Face Detection (Q)
|
100% |
64182
762.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4677
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
66697
513.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
107606
837.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9973
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
200837
258.2 IPS |
|
|
Style Transfer (Q)
|
98% |
301523
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31251
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54087
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
2145
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3933
67.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4166
71.8 IPS |
