Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
2574
Single Precision Score
8704
Half Precision Score
13371
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 06:00 AM |
| Views | 13 |
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% |
1439
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
5791
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8301
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3418
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
30246
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65846
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
5262
417.4 IPS |
|
|
Object Detection (Q)
|
87% |
8771
703.9 IPS |
|
|
Face Detection (SP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
14648
174.1 IPS |
|
|
Face Detection (Q)
|
100% |
27635
328.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3871
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17139
132.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31891
248.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10703
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
47843
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86883
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12624
466.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20870
772.9 IPS |
|
|
Text Classification (SP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1805
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3867
66.6 IPS |
