ASUS System Product Name
Geekbench ML Score
4151
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 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% |
2261
423.0 IPS |
|
|
Image Classification (F16)
|
100% |
2300
430.4 IPS |
|
|
Image Classification (I8)
|
99% |
4237
792.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1991
33.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1977
33.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2851
47.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7957
9.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
7827
9.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
27130
32.9 IPS |
|
|
Object Detection (F32)
|
100% |
2087
155.8 IPS |
|
|
Object Detection (F16)
|
100% |
2116
157.9 IPS |
|
|
Object Detection (I8)
|
62% |
1972
147.2 IPS |
|
|
Face Detection (F32)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (F16)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (I8)
|
89% |
4526
53.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8642
67.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9091
70.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14814
114.9 IPS |
|
|
Style Transfer (F32)
|
100% |
19237
25.3 IPS |
|
|
Style Transfer (F16)
|
100% |
19062
25.1 IPS |
|
|
Style Transfer (I8)
|
98% |
24235
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3772
134.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3800
135.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5386
192.4 IPS |
|
|
Text Classification (F32)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1641
2.36 KIPS |
|
|
Text Classification (I8)
|
98% |
470
675.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2018
37.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2015
37.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2918
53.7 IPS |
