Micro-Star International Co., Ltd. MS-7E06
Geekbench ML Score
3871
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 04:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P DDR4 (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
2118
396.3 IPS |
|
|
Image Classification (F16)
|
100% |
2141
400.6 IPS |
|
|
Image Classification (I8)
|
99% |
3915
732.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1921
32.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1905
31.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2745
45.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6749
8.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
6904
8.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
22114
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
1961
146.4 IPS |
|
|
Object Detection (F16)
|
100% |
1946
145.3 IPS |
|
|
Object Detection (I8)
|
62% |
1946
145.3 IPS |
|
|
Face Detection (F32)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (F16)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (I8)
|
89% |
4341
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7923
61.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8013
62.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14751
114.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16246
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
16439
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
21236
27.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3479
124.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3500
125.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5283
188.7 IPS |
|
|
Text Classification (F32)
|
100% |
1620
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1640
2.36 KIPS |
|
|
Text Classification (I8)
|
98% |
491
705.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2087
38.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2105
38.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3000
55.2 IPS |
