Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
2249
Single Precision Score
976
Half Precision Score
4066
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 02:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1782
331.3 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
99% |
3854
718.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2396
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3785
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2576
3.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
13149
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (Q)
|
86% |
2499
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
5280
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4716
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1333
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8605
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8669
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6469
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
14182
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2771
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
509
679.9 IPS |
|
|
Text Classification (Q)
|
97% |
1059
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (Q)
|
65% |
2154
43.3 IPS |
