Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench ML Score
3350
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2025 04:13 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% |
1733
324.2 IPS |
|
|
Image Classification (F16)
|
100% |
1734
324.4 IPS |
|
|
Image Classification (I8)
|
99% |
3197
598.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1562
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1546
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2622
43.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4673
5.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
4822
5.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
17402
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1729
129.0 IPS |
|
|
Object Detection (F16)
|
100% |
1720
128.4 IPS |
|
|
Object Detection (I8)
|
62% |
1708
127.5 IPS |
|
|
Face Detection (F32)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (F16)
|
100% |
3706
44.1 IPS |
|
|
Face Detection (I8)
|
89% |
4304
51.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5677
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5600
43.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13291
103.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11869
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11947
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
21406
28.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2614
93.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2602
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4736
169.2 IPS |
|
|
Text Classification (F32)
|
100% |
1344
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1319
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1134
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1915
35.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1830
33.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2556
47.0 IPS |
