Micro-Star International Co., Ltd. MS-7E49
Geekbench ML Score
7359
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 24 2024 03:49 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 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% |
4031
754.2 IPS |
|
|
Image Classification (F16)
|
100% |
3979
744.5 IPS |
|
|
Image Classification (I8)
|
99% |
8579
1.61 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2769
46.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2667
44.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4418
73.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14228
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
14372
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
46611
56.4 IPS |
|
|
Object Detection (F32)
|
100% |
3885
290.0 IPS |
|
|
Object Detection (F16)
|
100% |
3831
286.0 IPS |
|
|
Object Detection (I8)
|
62% |
4010
299.4 IPS |
|
|
Face Detection (F32)
|
100% |
5606
66.7 IPS |
|
|
Face Detection (F16)
|
100% |
5618
66.8 IPS |
|
|
Face Detection (I8)
|
89% |
7316
87.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14572
113.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
14717
114.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
28449
220.6 IPS |
|
|
Style Transfer (F32)
|
100% |
32317
42.5 IPS |
|
|
Style Transfer (F16)
|
100% |
32695
43.0 IPS |
|
|
Style Transfer (I8)
|
98% |
38037
50.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6549
233.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6025
215.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7989
285.3 IPS |
|
|
Text Classification (F32)
|
100% |
2844
4.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3405
4.89 KIPS |
|
|
Text Classification (I8)
|
98% |
2038
2.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
4434
81.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4395
80.9 IPS |
|
|
Machine Translation (I8)
|
67% |
5794
106.6 IPS |
