Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
13799
Single Precision Score
17850
Half Precision Score
9500
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Bearco |
| Upload Date | November 10 2025 10:52 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5016
932.7 IPS |
|
|
Image Classification (HP)
|
99% |
4705
877.6 IPS |
|
|
Image Classification (Q)
|
100% |
3604
670.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7578
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8995
145.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6241
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
129460
151.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
234807
274.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
100456
117.7 IPS |
|
|
Object Detection (SP)
|
100% |
6098
483.7 IPS |
|
|
Object Detection (HP)
|
100% |
7795
618.3 IPS |
|
|
Object Detection (Q)
|
85% |
4847
389.9 IPS |
|
|
Face Detection (SP)
|
100% |
16712
198.6 IPS |
|
|
Face Detection (HP)
|
100% |
20497
243.5 IPS |
|
|
Face Detection (Q)
|
97% |
12696
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42613
328.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63411
488.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
27283
218.5 IPS |
|
|
Style Transfer (SP)
|
100% |
190911
245.4 IPS |
|
|
Style Transfer (HP)
|
100% |
377009
484.7 IPS |
|
|
Style Transfer (Q)
|
98% |
140924
181.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22469
829.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27727
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14263
528.1 IPS |
|
|
Text Classification (SP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (HP)
|
99% |
1662
2.22 KIPS |
|
|
Text Classification (Q)
|
97% |
837
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1878
32.3 IPS |
|
|
Machine Translation (Q)
|
70% |
939
17.6 IPS |
