Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
3167
Single Precision Score
23783
Half Precision Score
35394
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1888
351.1 IPS |
|
|
Image Classification (HP)
|
100% |
12958
2.41 KIPS |
|
|
Image Classification (Q)
|
100% |
18120
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16116
261.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31392
508.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
102730
119.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
203221
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
16513
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
22851
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
5504
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
31697
376.6 IPS |
|
|
Face Detection (Q)
|
100% |
67934
807.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4712
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68728
529.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
109129
849.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10143
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203176
261.2 IPS |
|
|
Style Transfer (Q)
|
98% |
304880
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33590
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57654
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2153
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4164
71.7 IPS |
