Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
2945
Single Precision Score
1340
Half Precision Score
6101
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 06:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
99% |
5074
946.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6722
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4680
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3447
4.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
16860
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
4333
348.2 IPS |
|
|
Face Detection (SP)
|
100% |
5957
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
8167
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1974
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11953
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10573
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8557
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19658
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4570
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
600
801.4 IPS |
|
|
Text Classification (Q)
|
97% |
1268
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2580
51.8 IPS |
