Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
3091
Single Precision Score
29616
Half Precision Score
49374
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kuishinbougeek |
| Upload Date | October 19 2025 04:36 PM |
| Views | 12 |
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 |
| 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% |
1843
342.7 IPS |
|
|
Image Classification (HP)
|
100% |
15409
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
21680
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19826
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33507
543.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
112380
131.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
248061
290.6 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
17957
1.42 KIPS |
|
|
Object Detection (Q)
|
88% |
27642
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
43668
518.9 IPS |
|
|
Face Detection (Q)
|
100% |
94659
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4524
34.9 IPS |
|
|
Depth Estimation (HP)
|
92% |
84824
658.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
169185
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
9932
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244125
313.8 IPS |
|
|
Style Transfer (Q)
|
98% |
412832
532.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41890
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74109
2.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3713
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7242
124.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9501
163.7 IPS |
