Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
2269
Single Precision Score
8266
Half Precision Score
12112
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 03:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1128
209.8 IPS |
|
|
Image Classification (HP)
|
100% |
5639
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7294
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
27879
32.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64436
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (HP)
|
100% |
5011
397.4 IPS |
|
|
Object Detection (Q)
|
87% |
8479
680.5 IPS |
|
|
Face Detection (SP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
14382
170.9 IPS |
|
|
Face Detection (Q)
|
100% |
25606
304.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3579
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16820
129.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
32077
249.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9307
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47810
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87841
113.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12084
446.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15334
567.9 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
1378
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3261
56.2 IPS |
