Generic
Geekbench ML Score
4326
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 11:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 |
| Power Plan | High performance |
| 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% |
2326
435.3 IPS |
|
|
Image Classification (F16)
|
100% |
2363
442.1 IPS |
|
|
Image Classification (I8)
|
97% |
3902
730.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2157
36.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2217
37.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
2724
45.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7203
8.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
7234
8.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
13259
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
2358
176.0 IPS |
|
|
Object Detection (F16)
|
100% |
2335
174.3 IPS |
|
|
Object Detection (I8)
|
60% |
2120
158.3 IPS |
|
|
Face Detection (F32)
|
100% |
5686
67.6 IPS |
|
|
Face Detection (F16)
|
100% |
5759
68.5 IPS |
|
|
Face Detection (I8)
|
87% |
5661
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8773
68.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8804
68.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
13208
102.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17458
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
17254
22.7 IPS |
|
|
Style Transfer (I8)
|
85% |
17677
23.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3504
125.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3509
125.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3897
139.2 IPS |
|
|
Text Classification (F32)
|
100% |
1894
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1938
2.79 KIPS |
|
|
Text Classification (I8)
|
94% |
1269
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
2813
51.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2743
50.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3110
57.2 IPS |
