Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
2488
Single Precision Score
8992
Half Precision Score
13804
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 12:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw A1M |
| Motherboard | Micro-Star International Co., Ltd. MS-1T41 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
6155
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8600
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2985
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3355
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
29888
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
65832
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
88% |
9060
726.3 IPS |
|
|
Face Detection (SP)
|
100% |
4181
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
16046
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
28734
341.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3710
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17285
133.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
31799
247.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10038
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50195
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
89094
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14176
523.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27188
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1802
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4067
70.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4114
70.9 IPS |
