System manufacturer System Product Name
Geekbench ML Score
1760
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 18 2026 03:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 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% |
951
177.9 IPS |
|
|
Image Classification (F16)
|
100% |
929
173.9 IPS |
|
|
Image Classification (I8)
|
97% |
1584
296.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
686
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
705
11.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1460
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4625
5.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
4263
5.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
4002
4.85 IPS |
|
|
Object Detection (F32)
|
100% |
1054
78.7 IPS |
|
|
Object Detection (F16)
|
100% |
1005
75.0 IPS |
|
|
Object Detection (I8)
|
60% |
869
64.8 IPS |
|
|
Face Detection (F32)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (F16)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (I8)
|
87% |
2444
29.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3778
29.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3440
26.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
4477
34.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7285
9.58 IPS |
|
|
Style Transfer (F16)
|
100% |
9875
13.0 IPS |
|
|
Style Transfer (I8)
|
85% |
8161
10.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1410
50.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1238
44.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1616
57.7 IPS |
|
|
Text Classification (F32)
|
100% |
714
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
713
1.02 KIPS |
|
|
Text Classification (I8)
|
94% |
562
808.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1073
19.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1557
28.7 IPS |
