Micro-Star International Co., Ltd. Claw A1M
Geekbench AI Score
6728
Single Precision Score
10955
Half Precision Score
16621
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 09:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5123
952.7 IPS |
|
|
Image Classification (HP)
|
100% |
6871
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
8387
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10483
169.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15336
248.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19641
22.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
21882
25.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
46177
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (HP)
|
100% |
7693
610.2 IPS |
|
|
Object Detection (Q)
|
88% |
10819
867.0 IPS |
|
|
Face Detection (SP)
|
100% |
9050
107.5 IPS |
|
|
Face Detection (HP)
|
100% |
17852
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
29461
350.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17749
136.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
30704
237.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
36287
282.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34964
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
47107
60.6 IPS |
|
|
Style Transfer (Q)
|
98% |
150336
193.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13769
508.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22099
818.4 IPS |
|
|
Text Classification (SP)
|
71% |
1502
2.17 KIPS |
|
|
Text Classification (HP)
|
71% |
2355
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2533
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2454
42.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2784
48.0 IPS |
