Micro-Star International Co., Ltd. Venture 15 AI A1MG
Geekbench ML Score
1697
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 25 2025 02:21 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Venture 15 AI A1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-15Q2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
796
149.0 IPS |
|
|
Image Classification (F16)
|
100% |
791
148.0 IPS |
|
|
Image Classification (I8)
|
99% |
1536
287.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
775
13.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1496
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2831
3.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
2814
3.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
11147
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
799
59.6 IPS |
|
|
Object Detection (F16)
|
100% |
807
60.2 IPS |
|
|
Object Detection (I8)
|
62% |
759
56.7 IPS |
|
|
Face Detection (F32)
|
100% |
2061
24.5 IPS |
|
|
Face Detection (F16)
|
100% |
2014
24.0 IPS |
|
|
Face Detection (I8)
|
89% |
2327
27.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3299
25.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3284
25.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
6343
49.2 IPS |
|
|
Style Transfer (F32)
|
100% |
7342
9.66 IPS |
|
|
Style Transfer (F16)
|
100% |
7076
9.31 IPS |
|
|
Style Transfer (I8)
|
98% |
12320
16.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1261
45.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1211
43.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2273
81.2 IPS |
|
|
Text Classification (F32)
|
100% |
488
701.0 IPS |
|
|
Text Classification (F16)
|
100% |
472
678.1 IPS |
|
|
Text Classification (I8)
|
98% |
506
727.7 IPS |
|
|
Machine Translation (F32)
|
100% |
858
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1570
28.9 IPS |
