Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
4718
Single Precision Score
7544
Half Precision Score
3447
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 05:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
4252
790.8 IPS |
|
|
Image Classification (Q)
|
100% |
2044
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7411
120.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2553
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13597
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20515
23.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11968
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
99% |
4977
395.9 IPS |
|
|
Object Detection (Q)
|
86% |
2212
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8790
104.4 IPS |
|
|
Face Detection (Q)
|
97% |
3473
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10144
78.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
20527
158.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
7925
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
45683
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71186
91.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32431
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11137
411.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4018
148.8 IPS |
|
|
Text Classification (SP)
|
86% |
718
971.7 IPS |
|
|
Text Classification (HP)
|
99% |
632
843.7 IPS |
|
|
Text Classification (Q)
|
84% |
506
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (Q)
|
70% |
947
17.8 IPS |
