System manufacturer System Product Name
Geekbench ML Score
797
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | Energisparlge |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 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% |
693
129.8 IPS |
|
|
Image Classification (F16)
|
100% |
682
127.6 IPS |
|
|
Image Classification (I8)
|
97% |
877
164.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
467
7.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
309
5.17 IPS |
|
|
Image Segmentation (I8)
|
97% |
474
7.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
1658
2.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
1433
1.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
1321
1.60 IPS |
|
|
Object Detection (F32)
|
100% |
496
37.1 IPS |
|
|
Object Detection (F16)
|
100% |
473
35.3 IPS |
|
|
Object Detection (I8)
|
60% |
390
29.1 IPS |
|
|
Face Detection (F32)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (I8)
|
87% |
1470
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1499
11.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1343
10.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
1626
12.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2684
3.53 IPS |
|
|
Style Transfer (F16)
|
100% |
3127
4.11 IPS |
|
|
Style Transfer (I8)
|
85% |
3540
4.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
616
22.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
508
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
562
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
313
449.8 IPS |
|
|
Text Classification (F16)
|
100% |
293
420.7 IPS |
|
|
Text Classification (I8)
|
94% |
145
208.5 IPS |
|
|
Machine Translation (F32)
|
100% |
692
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
621
11.4 IPS |
|
|
Machine Translation (I8)
|
67% |
712
13.1 IPS |
