Micro-Star International Co., Ltd. MS-7D25
Geekbench ML Score
2524
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 22 2024 03:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | PS_3.3-2.7_32w_0.912 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| 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% |
1337
250.2 IPS |
|
|
Image Classification (F16)
|
100% |
1346
251.8 IPS |
|
|
Image Classification (I8)
|
99% |
2205
412.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1219
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1213
20.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1822
30.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4070
4.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
4073
4.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
12996
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1331
99.4 IPS |
|
|
Object Detection (F16)
|
100% |
1340
100.1 IPS |
|
|
Object Detection (I8)
|
62% |
1318
98.4 IPS |
|
|
Face Detection (F32)
|
100% |
2453
29.2 IPS |
|
|
Face Detection (F16)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (I8)
|
89% |
3242
38.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4881
37.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4940
38.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
9428
73.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9903
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
9811
12.9 IPS |
|
|
Style Transfer (I8)
|
98% |
14917
19.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2124
75.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2120
75.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3440
122.9 IPS |
|
|
Text Classification (F32)
|
100% |
1093
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1095
1.57 KIPS |
|
|
Text Classification (I8)
|
98% |
369
530.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1498
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1512
27.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2064
38.0 IPS |
