ASUS All Series
Geekbench ML Score
1951
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:19 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home N (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-A |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5820K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 15.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1290
241.3 IPS |
|
|
Image Classification (F16)
|
100% |
1181
221.0 IPS |
|
|
Image Classification (I8)
|
97% |
1398
261.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1010
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1006
16.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1136
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4315
5.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
4704
5.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
4574
5.54 IPS |
|
|
Object Detection (F32)
|
100% |
1222
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1297
96.8 IPS |
|
|
Object Detection (I8)
|
60% |
979
73.1 IPS |
|
|
Face Detection (F32)
|
100% |
2229
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (I8)
|
87% |
2464
29.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4384
34.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4518
35.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
4966
38.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9502
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8883
11.7 IPS |
|
|
Style Transfer (I8)
|
85% |
8501
11.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1357
48.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1540
55.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1330
47.5 IPS |
|
|
Text Classification (F32)
|
100% |
834
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
873
1.25 KIPS |
|
|
Text Classification (I8)
|
94% |
348
500.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1269
23.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1484
27.3 IPS |
