Micro-Star International Co., Ltd. MS-7C70
Geekbench ML Score
11337
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 08:21 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 | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6627
1.24 KIPS |
|
|
Image Classification (F16)
|
100% |
6595
1.23 KIPS |
|
|
Image Classification (I8)
|
100% |
4435
830.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
7640
127.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7566
126.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
5985
100.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
68730
83.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
68972
83.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
50389
61.0 IPS |
|
|
Object Detection (F32)
|
100% |
4001
298.7 IPS |
|
|
Object Detection (F16)
|
100% |
4120
307.6 IPS |
|
|
Object Detection (I8)
|
63% |
3628
270.8 IPS |
|
|
Face Detection (F32)
|
100% |
17922
213.1 IPS |
|
|
Face Detection (F16)
|
100% |
17812
211.8 IPS |
|
|
Face Detection (I8)
|
89% |
13273
157.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
33039
256.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
43368
336.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
27708
214.9 IPS |
|
|
Style Transfer (F32)
|
100% |
132076
173.7 IPS |
|
|
Style Transfer (F16)
|
100% |
132301
174.0 IPS |
|
|
Style Transfer (I8)
|
98% |
97928
128.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21511
768.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21489
767.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12231
436.8 IPS |
|
|
Text Classification (F32)
|
100% |
1357
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1740
2.50 KIPS |
|
|
Text Classification (I8)
|
98% |
1161
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2705
49.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2697
49.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1387
25.5 IPS |
