System manufacturer System Product Name
Geekbench ML Score
2376
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS_BR |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 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% |
1344
251.5 IPS |
|
|
Image Classification (F16)
|
100% |
1337
250.2 IPS |
|
|
Image Classification (I8)
|
97% |
1946
364.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
891
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1368
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5513
6.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
5514
6.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
5383
6.52 IPS |
|
|
Object Detection (F32)
|
100% |
1369
102.2 IPS |
|
|
Object Detection (F16)
|
100% |
1365
101.9 IPS |
|
|
Object Detection (I8)
|
60% |
1164
86.9 IPS |
|
|
Face Detection (F32)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (I8)
|
87% |
3021
35.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5672
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5679
44.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
5854
45.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12235
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12206
16.1 IPS |
|
|
Style Transfer (I8)
|
85% |
10602
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2336
83.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2361
84.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2002
71.5 IPS |
|
|
Text Classification (F32)
|
100% |
1117
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1116
1.60 KIPS |
|
|
Text Classification (I8)
|
94% |
355
510.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1693
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1685
31.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1983
36.5 IPS |
