Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
2518
Single Precision Score
9019
Half Precision Score
13871
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 26 2026 09:19 AM |
| Views | 2 |
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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
6159
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8756
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3377
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29887
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
65924
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
100% |
5431
430.8 IPS |
|
|
Object Detection (Q)
|
88% |
9135
732.3 IPS |
|
|
Face Detection (SP)
|
100% |
4153
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
15894
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
29073
345.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3803
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17264
133.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31965
248.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9848
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50132
64.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89261
115.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14185
523.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27132
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4042
69.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4053
69.8 IPS |
