System manufacturer System Product Name
Geekbench ML Score
820
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | DieselDude |
| Upload Date | January 21 2024 04:58 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
413
77.2 IPS |
|
|
Image Classification (F16)
|
100% |
437
81.7 IPS |
|
|
Image Classification (I8)
|
97% |
639
119.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
348
5.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
340
5.68 IPS |
|
|
Image Segmentation (I8)
|
97% |
628
10.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1161
1.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1224
1.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
1717
2.08 IPS |
|
|
Object Detection (F32)
|
100% |
460
34.4 IPS |
|
|
Object Detection (F16)
|
100% |
482
36.0 IPS |
|
|
Object Detection (I8)
|
60% |
430
32.1 IPS |
|
|
Face Detection (F32)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (I8)
|
87% |
1263
15.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1462
11.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1520
11.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
2034
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3259
4.29 IPS |
|
|
Style Transfer (F16)
|
100% |
3573
4.70 IPS |
|
|
Style Transfer (I8)
|
85% |
4085
5.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
726
25.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
747
26.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
815
29.1 IPS |
|
|
Text Classification (F32)
|
100% |
403
579.6 IPS |
|
|
Text Classification (F16)
|
100% |
411
591.0 IPS |
|
|
Text Classification (I8)
|
94% |
189
271.7 IPS |
|
|
Machine Translation (F32)
|
100% |
678
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
655
12.1 IPS |
|
|
Machine Translation (I8)
|
67% |
771
14.2 IPS |
