ASUS System Product Name
Geekbench ML Score
5636
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 20 2024 08:35 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 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% |
2971
555.9 IPS |
|
|
Image Classification (F16)
|
100% |
2973
556.3 IPS |
|
|
Image Classification (I8)
|
99% |
4968
929.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2654
44.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2658
44.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3670
61.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12210
14.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12135
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
38696
46.9 IPS |
|
|
Object Detection (F32)
|
100% |
2793
208.5 IPS |
|
|
Object Detection (F16)
|
100% |
2756
205.7 IPS |
|
|
Object Detection (I8)
|
62% |
2378
177.6 IPS |
|
|
Face Detection (F32)
|
100% |
6610
78.6 IPS |
|
|
Face Detection (F16)
|
100% |
6553
77.9 IPS |
|
|
Face Detection (I8)
|
89% |
6487
77.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12087
93.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12225
94.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
21450
166.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28694
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
29111
38.3 IPS |
|
|
Style Transfer (I8)
|
98% |
37434
49.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5372
191.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5222
186.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6873
245.5 IPS |
|
|
Text Classification (F32)
|
100% |
1941
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
1941
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
517
743.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2647
48.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2661
49.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3864
71.1 IPS |
