ASUS System Product Name
Geekbench ML Score
4078
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | atef |
| Upload Date | March 28 2025 09:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| Power Plan | Ultimate Performance |
| 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 | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2281
426.8 IPS |
|
|
Image Classification (F16)
|
100% |
2269
424.5 IPS |
|
|
Image Classification (I8)
|
99% |
4211
788.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1870
31.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1923
32.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2797
46.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7579
9.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
7734
9.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
26457
32.0 IPS |
|
|
Object Detection (F32)
|
100% |
2034
151.8 IPS |
|
|
Object Detection (F16)
|
100% |
2044
152.6 IPS |
|
|
Object Detection (I8)
|
62% |
1921
143.4 IPS |
|
|
Face Detection (F32)
|
100% |
4115
48.9 IPS |
|
|
Face Detection (F16)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (I8)
|
89% |
4361
51.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8612
66.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8830
68.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14654
113.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18890
24.8 IPS |
|
|
Style Transfer (F16)
|
100% |
18792
24.7 IPS |
|
|
Style Transfer (I8)
|
98% |
22914
30.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4034
144.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4125
147.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5203
185.8 IPS |
|
|
Text Classification (F32)
|
100% |
1657
2.38 KIPS |
|
|
Text Classification (F16)
|
100% |
1616
2.32 KIPS |
|
|
Text Classification (I8)
|
98% |
471
676.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1922
35.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1947
35.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2860
52.6 IPS |
