Micro-Star International Co., Ltd. MS-7C70
Geekbench ML Score
3276
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 08:19 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C70 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z490 GODLIKE (MS-7C70) |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 256 KB x 10 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1775
332.2 IPS |
|
|
Image Classification (F16)
|
100% |
1772
331.5 IPS |
|
|
Image Classification (I8)
|
97% |
3009
563.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1694
28.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1663
27.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
2221
37.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7072
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
7088
8.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
15124
18.3 IPS |
|
|
Object Detection (F32)
|
100% |
1708
127.5 IPS |
|
|
Object Detection (F16)
|
100% |
1702
127.1 IPS |
|
|
Object Detection (I8)
|
60% |
1682
125.6 IPS |
|
|
Face Detection (F32)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (F16)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (I8)
|
87% |
3837
45.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6822
52.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6838
53.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
11658
90.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17816
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
15656
20.6 IPS |
|
|
Style Transfer (I8)
|
85% |
14432
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3214
114.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3182
113.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3848
137.4 IPS |
|
|
Text Classification (F32)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1525
2.19 KIPS |
|
|
Text Classification (I8)
|
94% |
473
679.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2050
37.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2058
37.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2470
45.5 IPS |
