Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
2621
Single Precision Score
2657
Half Precision Score
6308
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 05:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
1422
264.4 IPS |
|
|
Image Classification (Q)
|
100% |
4438
825.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4332
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3685
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3530
4.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
13102
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (Q)
|
88% |
3782
303.1 IPS |
|
|
Face Detection (SP)
|
100% |
4480
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
8766
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3769
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3941
30.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9976
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10469
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11125
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35080
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6540
242.2 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2781
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1877
32.3 IPS |
