Micro-Star International Co., Ltd. MS-7E06
Geekbench ML Score
4860
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 06:24 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2393
447.8 IPS |
|
|
Image Classification (F16)
|
100% |
2393
447.7 IPS |
|
|
Image Classification (I8)
|
99% |
4327
809.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2161
36.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2155
36.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3861
64.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7737
9.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
8074
9.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
27129
32.9 IPS |
|
|
Object Detection (F32)
|
100% |
2406
179.6 IPS |
|
|
Object Detection (F16)
|
100% |
2410
179.9 IPS |
|
|
Object Detection (I8)
|
62% |
2327
173.8 IPS |
|
|
Face Detection (F32)
|
100% |
5419
64.4 IPS |
|
|
Face Detection (F16)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (I8)
|
89% |
6127
72.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9160
71.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9247
71.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
17300
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
19492
25.6 IPS |
|
|
Style Transfer (F16)
|
100% |
19394
25.5 IPS |
|
|
Style Transfer (I8)
|
98% |
31246
41.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3979
142.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3993
142.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6169
220.3 IPS |
|
|
Text Classification (F32)
|
100% |
1839
2.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1845
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1428
2.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
2649
48.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2678
49.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3706
68.2 IPS |
