ASUS System Product Name
Geekbench ML Score
5755
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 12:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 DARK HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2980
557.6 IPS |
|
|
Image Classification (F16)
|
100% |
3059
572.4 IPS |
|
|
Image Classification (I8)
|
99% |
4875
912.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2225
37.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2442
40.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4294
71.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
12047
14.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12079
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
40637
49.2 IPS |
|
|
Object Detection (F32)
|
100% |
2731
203.9 IPS |
|
|
Object Detection (F16)
|
100% |
2869
214.2 IPS |
|
|
Object Detection (I8)
|
62% |
2565
191.5 IPS |
|
|
Face Detection (F32)
|
100% |
5496
65.3 IPS |
|
|
Face Detection (F16)
|
100% |
5812
69.1 IPS |
|
|
Face Detection (I8)
|
89% |
6137
73.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12078
93.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11918
92.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
19399
150.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29020
38.2 IPS |
|
|
Style Transfer (F16)
|
100% |
29061
38.2 IPS |
|
|
Style Transfer (I8)
|
98% |
32734
43.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5339
190.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5294
189.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6731
240.4 IPS |
|
|
Text Classification (F32)
|
100% |
1866
2.68 KIPS |
|
|
Text Classification (F16)
|
100% |
1883
2.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1418
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
2939
54.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2946
54.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4161
76.6 IPS |
