Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
2370
Single Precision Score
8659
Half Precision Score
13244
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 03:52 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 A1M |
| Motherboard | Micro-Star International Co., Ltd. MS-1T41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
6177
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8580
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3004
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
30255
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65357
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
5405
428.7 IPS |
|
|
Object Detection (Q)
|
87% |
8727
700.4 IPS |
|
|
Face Detection (SP)
|
100% |
4039
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
14592
173.4 IPS |
|
|
Face Detection (Q)
|
100% |
27156
322.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3742
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16747
129.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31244
243.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9943
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46699
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
86838
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12471
460.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20618
763.6 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1742
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1726
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1830
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3752
64.6 IPS |
