Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
6962
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 19 2025 05:15 AM |
| Views | 2 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2595
485.5 IPS |
|
|
Image Classification (F16)
|
100% |
2627
491.5 IPS |
|
|
Image Classification (I8)
|
99% |
6476
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2621
43.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2619
43.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4336
72.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
26584
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
26297
31.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
68071
82.4 IPS |
|
|
Object Detection (F32)
|
100% |
2803
209.2 IPS |
|
|
Object Detection (F16)
|
100% |
2822
210.7 IPS |
|
|
Object Detection (I8)
|
62% |
3045
227.3 IPS |
|
|
Face Detection (F32)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (F16)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (I8)
|
89% |
6872
81.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12393
96.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
12405
96.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
28958
224.6 IPS |
|
|
Style Transfer (F32)
|
100% |
46058
60.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46052
60.6 IPS |
|
|
Style Transfer (I8)
|
98% |
44404
58.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5837
208.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5785
206.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7789
278.2 IPS |
|
|
Text Classification (F32)
|
100% |
2261
3.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2313
3.32 KIPS |
|
|
Text Classification (I8)
|
98% |
1593
2.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
4008
73.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4119
75.8 IPS |
|
|
Machine Translation (I8)
|
67% |
5652
104.0 IPS |
