Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench ML Score
3232
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2025 04:11 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG |
| Motherboard | Micro-Star International Co., Ltd. MS-13P5 |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1739
325.4 IPS |
|
|
Image Classification (F16)
|
100% |
1738
325.1 IPS |
|
|
Image Classification (I8)
|
99% |
3126
584.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1555
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2583
43.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4561
5.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
4753
5.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
15865
19.2 IPS |
|
|
Object Detection (F32)
|
100% |
1567
117.0 IPS |
|
|
Object Detection (F16)
|
100% |
1621
121.0 IPS |
|
|
Object Detection (I8)
|
62% |
807
60.2 IPS |
|
|
Face Detection (F32)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (F16)
|
100% |
3823
45.5 IPS |
|
|
Face Detection (I8)
|
89% |
4359
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5891
45.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5789
44.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
12870
99.8 IPS |
|
|
Style Transfer (F32)
|
100% |
11734
15.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11696
15.4 IPS |
|
|
Style Transfer (I8)
|
98% |
21519
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2650
94.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2604
93.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4764
170.1 IPS |
|
|
Text Classification (F32)
|
100% |
1292
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1273
1.83 KIPS |
|
|
Text Classification (I8)
|
98% |
1133
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1930
35.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1926
35.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2605
47.9 IPS |
