Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench ML Score
3357
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2025 04:10 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% |
1713
320.6 IPS |
|
|
Image Classification (F16)
|
100% |
1706
319.2 IPS |
|
|
Image Classification (I8)
|
99% |
3218
602.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2605
43.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4732
5.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4828
5.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
16905
20.5 IPS |
|
|
Object Detection (F32)
|
100% |
1729
129.1 IPS |
|
|
Object Detection (F16)
|
100% |
1680
125.4 IPS |
|
|
Object Detection (I8)
|
62% |
1646
122.9 IPS |
|
|
Face Detection (F32)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (F16)
|
100% |
3840
45.7 IPS |
|
|
Face Detection (I8)
|
89% |
4344
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5735
44.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5758
44.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
13241
102.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12030
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12060
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
21565
28.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2636
94.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2590
92.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4800
171.4 IPS |
|
|
Text Classification (F32)
|
100% |
1319
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1256
1.80 KIPS |
|
|
Text Classification (I8)
|
98% |
1116
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
1962
36.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1936
35.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2624
48.3 IPS |
