Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
5788
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 04:52 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Ultimate 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% |
3264
610.9 IPS |
|
|
Image Classification (F16)
|
100% |
3175
594.2 IPS |
|
|
Image Classification (I8)
|
99% |
7841
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2317
38.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2253
37.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2855
47.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10103
12.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11070
13.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
47442
57.5 IPS |
|
|
Object Detection (F32)
|
100% |
2859
213.4 IPS |
|
|
Object Detection (F16)
|
100% |
2931
218.8 IPS |
|
|
Object Detection (I8)
|
62% |
2865
213.9 IPS |
|
|
Face Detection (F32)
|
100% |
4563
54.3 IPS |
|
|
Face Detection (F16)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (I8)
|
89% |
6368
75.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
11739
91.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11046
85.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
26618
206.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27972
36.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26986
35.5 IPS |
|
|
Style Transfer (I8)
|
98% |
35682
46.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4991
178.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5587
199.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7083
252.9 IPS |
|
|
Text Classification (F32)
|
100% |
2710
3.89 KIPS |
|
|
Text Classification (F16)
|
100% |
2789
4.01 KIPS |
|
|
Text Classification (I8)
|
98% |
489
703.3 IPS |
|
|
Machine Translation (F32)
|
100% |
3557
65.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3591
66.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4183
77.0 IPS |
