Micro-Star International Co., Ltd. Claw 8 AI+ A2VM
Geekbench AI Score
2133
Single Precision Score
685
Half Precision Score
3641
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
2646
493.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
2395
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
11327
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
88% |
1535
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
3738
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3867
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.08 IPS |
|
|
Depth Estimation (Q)
|
76% |
6372
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7623
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6209
7.98 IPS |
|
|
Style Transfer (Q)
|
98% |
16049
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3274
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1180
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
623
832.1 IPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2069
46.1 IPS |
