ASUS System Product Name
Geekbench ML Score
5696
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 20 2024 08:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2975
556.7 IPS |
|
|
Image Classification (F16)
|
100% |
3096
579.4 IPS |
|
|
Image Classification (I8)
|
99% |
4982
932.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2609
43.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2584
43.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3755
62.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
12343
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12216
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
41898
50.7 IPS |
|
|
Object Detection (F32)
|
100% |
2812
210.0 IPS |
|
|
Object Detection (F16)
|
100% |
2872
214.4 IPS |
|
|
Object Detection (I8)
|
62% |
2370
176.9 IPS |
|
|
Face Detection (F32)
|
100% |
6307
75.0 IPS |
|
|
Face Detection (F16)
|
100% |
6551
77.9 IPS |
|
|
Face Detection (I8)
|
89% |
6495
77.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12164
94.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
12632
98.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
22074
171.2 IPS |
|
|
Style Transfer (F32)
|
100% |
28447
37.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28571
37.6 IPS |
|
|
Style Transfer (I8)
|
98% |
38565
50.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5654
201.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5308
189.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6603
235.8 IPS |
|
|
Text Classification (F32)
|
100% |
1961
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1954
2.81 KIPS |
|
|
Text Classification (I8)
|
98% |
551
791.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2685
49.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2695
49.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3836
70.6 IPS |
