Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
7904
Single Precision Score
14258
Half Precision Score
5248
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kuishinbougeek |
| Upload Date | October 19 2025 04:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4345
808.1 IPS |
|
|
Image Classification (HP)
|
100% |
5052
939.5 IPS |
|
|
Image Classification (Q)
|
100% |
2998
557.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7341
119.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14740
238.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5202
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12316
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31299
36.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11094
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
5339
423.5 IPS |
|
|
Object Detection (HP)
|
100% |
9460
750.4 IPS |
|
|
Object Detection (Q)
|
88% |
4231
339.3 IPS |
|
|
Face Detection (SP)
|
100% |
10411
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
19739
234.5 IPS |
|
|
Face Detection (Q)
|
97% |
7516
89.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20827
160.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42333
326.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13555
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53057
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
187895
241.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38561
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9884
365.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19305
712.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5424
200.8 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1355
25.4 IPS |
