System manufacturer System Product Name
Geekbench ML Score
3766
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 04:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 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 | 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% |
2512
470.1 IPS |
|
|
Image Classification (F16)
|
100% |
2448
458.1 IPS |
|
|
Image Classification (I8)
|
97% |
4085
764.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2301
38.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2292
38.3 IPS |
|
|
Image Segmentation (I8)
|
97% |
2270
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7182
8.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
7135
8.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
13533
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1434
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
1984
148.1 IPS |
|
|
Object Detection (I8)
|
60% |
1973
147.3 IPS |
|
|
Face Detection (F32)
|
100% |
3698
44.0 IPS |
|
|
Face Detection (F16)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (I8)
|
87% |
4790
57.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8598
66.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5257
40.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
12616
97.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17234
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
16943
22.3 IPS |
|
|
Style Transfer (I8)
|
85% |
17943
23.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2112
75.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3492
124.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3995
142.7 IPS |
|
|
Text Classification (F32)
|
100% |
1424
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (I8)
|
94% |
377
541.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2852
52.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2899
53.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3021
55.6 IPS |
