Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
9801
Single Precision Score
25454
Half Precision Score
30143
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 11:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw 8 AI+ A2VM |
| Motherboard | Micro-Star International Co., Ltd. MS-1T52 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6308
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
14470
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
17677
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8619
139.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23449
380.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28800
466.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20881
24.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
112322
131.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
229393
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
4960
393.4 IPS |
|
|
Object Detection (HP)
|
100% |
15549
1.23 KIPS |
|
|
Object Detection (Q)
|
88% |
15534
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
12701
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
28236
335.5 IPS |
|
|
Face Detection (Q)
|
100% |
35685
424.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21068
162.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49313
379.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
64391
500.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47500
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149208
191.8 IPS |
|
|
Style Transfer (Q)
|
98% |
183994
237.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8436
311.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26604
982.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35034
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4452
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3840
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3044
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6003
103.4 IPS |
