Micro-Star International Co., Ltd. MS-7C94
Geekbench ML Score
4294
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RadeoForce |
| Upload Date | January 07 2024 03:42 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 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% |
2480
464.1 IPS |
|
|
Image Classification (F16)
|
100% |
2459
460.1 IPS |
|
|
Image Classification (I8)
|
97% |
4017
751.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2380
39.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2396
40.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1647
27.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7366
8.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
7325
8.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
13821
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
2410
179.9 IPS |
|
|
Object Detection (F16)
|
100% |
2421
180.8 IPS |
|
|
Object Detection (I8)
|
60% |
2195
163.8 IPS |
|
|
Face Detection (F32)
|
100% |
6977
83.0 IPS |
|
|
Face Detection (F16)
|
100% |
6994
83.2 IPS |
|
|
Face Detection (I8)
|
87% |
6304
75.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8622
66.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8640
67.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
14001
108.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17864
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
18156
23.9 IPS |
|
|
Style Transfer (I8)
|
85% |
20454
26.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3116
111.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3575
127.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4051
144.7 IPS |
|
|
Text Classification (F32)
|
100% |
1999
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
2005
2.88 KIPS |
|
|
Text Classification (I8)
|
94% |
412
592.6 IPS |
|
|
Machine Translation (F32)
|
100% |
3085
56.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3094
56.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2910
53.6 IPS |
