Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
2205
Single Precision Score
29108
Half Precision Score
47186
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Bearco |
| Upload Date | November 10 2025 10:55 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
14124
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
18430
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19578
317.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32773
531.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2593
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
111743
130.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
248309
290.9 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
16953
1.34 KIPS |
|
|
Object Detection (Q)
|
88% |
25504
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
41010
487.3 IPS |
|
|
Face Detection (Q)
|
100% |
85797
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3368
25.9 IPS |
|
|
Depth Estimation (HP)
|
92% |
81162
629.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
156332
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
7794
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
239685
308.1 IPS |
|
|
Style Transfer (Q)
|
98% |
411010
530.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43974
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73535
2.72 KIPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3431
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8885
153.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10287
177.2 IPS |
