Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
6427
Single Precision Score
9612
Half Precision Score
14645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 03:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4707
875.3 IPS |
|
|
Image Classification (HP)
|
100% |
6782
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
8238
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4303
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10581
171.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15062
244.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19618
22.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
16709
19.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
53610
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
3876
307.5 IPS |
|
|
Object Detection (HP)
|
100% |
6744
534.9 IPS |
|
|
Object Detection (Q)
|
88% |
10109
810.1 IPS |
|
|
Face Detection (SP)
|
100% |
7193
85.5 IPS |
|
|
Face Detection (HP)
|
100% |
14339
170.4 IPS |
|
|
Face Detection (Q)
|
100% |
22882
271.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15431
118.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
23343
180.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25344
197.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37892
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47704
61.3 IPS |
|
|
Style Transfer (Q)
|
98% |
114216
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10029
370.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17422
645.2 IPS |
|
|
Text Classification (SP)
|
71% |
1300
1.88 KIPS |
|
|
Text Classification (HP)
|
71% |
1765
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2020
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2947
51.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2896
49.9 IPS |
