System manufacturer System Product Name
Geekbench ML Score
3558
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-I GAMING |
| Power Plan | Performan nalt |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 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% |
1500
280.7 IPS |
|
|
Image Classification (F16)
|
100% |
1485
278.0 IPS |
|
|
Image Classification (I8)
|
97% |
3378
632.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1904
31.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1928
32.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
2399
40.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9469
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9484
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
17511
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1717
128.2 IPS |
|
|
Object Detection (F16)
|
100% |
1689
126.1 IPS |
|
|
Object Detection (I8)
|
60% |
1677
125.2 IPS |
|
|
Face Detection (F32)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (F16)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (I8)
|
87% |
3924
46.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7170
55.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7495
58.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
12894
100.0 IPS |
|
|
Style Transfer (F32)
|
100% |
19918
26.2 IPS |
|
|
Style Transfer (F16)
|
100% |
20016
26.3 IPS |
|
|
Style Transfer (I8)
|
85% |
18031
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2999
107.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3028
108.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3822
136.5 IPS |
|
|
Text Classification (F32)
|
100% |
1379
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
1391
2.00 KIPS |
|
|
Text Classification (I8)
|
94% |
377
541.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2450
45.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2437
44.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2835
52.2 IPS |
