Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
9100
Single Precision Score
10485
Half Precision Score
6618
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kuishinbougeek |
| Upload Date | October 19 2025 04:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
3658
680.2 IPS |
|
|
Image Classification (HP)
|
100% |
4281
796.1 IPS |
|
|
Image Classification (Q)
|
100% |
3051
567.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4787
77.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5166
83.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4243
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
70479
82.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
101375
118.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
57501
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4370
346.6 IPS |
|
|
Object Detection (HP)
|
100% |
4673
370.6 IPS |
|
|
Object Detection (Q)
|
88% |
3626
290.7 IPS |
|
|
Face Detection (SP)
|
100% |
11243
133.6 IPS |
|
|
Face Detection (HP)
|
100% |
13094
155.6 IPS |
|
|
Face Detection (Q)
|
97% |
9763
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25260
194.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29144
224.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
18336
146.9 IPS |
|
|
Style Transfer (SP)
|
100% |
133962
172.2 IPS |
|
|
Style Transfer (HP)
|
100% |
181080
232.8 IPS |
|
|
Style Transfer (Q)
|
98% |
105806
136.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14184
523.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16659
615.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9691
358.8 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
514
688.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (Q)
|
70% |
633
11.9 IPS |
