ASUS System Product Name
Geekbench ML Score
4295
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | atef |
| Upload Date | August 15 2024 05:36 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2299
430.3 IPS |
|
|
Image Classification (F16)
|
100% |
2392
447.7 IPS |
|
|
Image Classification (I8)
|
99% |
4353
814.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2040
34.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1973
33.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3014
50.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8578
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
8686
10.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
27498
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
2201
164.3 IPS |
|
|
Object Detection (F16)
|
100% |
2235
166.9 IPS |
|
|
Object Detection (I8)
|
62% |
2042
152.4 IPS |
|
|
Face Detection (F32)
|
100% |
4243
50.5 IPS |
|
|
Face Detection (F16)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (I8)
|
89% |
4460
53.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9186
71.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9386
72.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
15366
119.2 IPS |
|
|
Style Transfer (F32)
|
100% |
19614
25.8 IPS |
|
|
Style Transfer (F16)
|
100% |
19878
26.1 IPS |
|
|
Style Transfer (I8)
|
98% |
23906
31.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4212
150.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3976
142.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5489
196.0 IPS |
|
|
Text Classification (F32)
|
100% |
1722
2.47 KIPS |
|
|
Text Classification (F16)
|
100% |
1670
2.40 KIPS |
|
|
Text Classification (I8)
|
98% |
502
720.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2064
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2035
37.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2978
54.8 IPS |
