ASUS System Product Name
Geekbench ML Score
28143
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 27 2025 06:56 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12039
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
12715
2.38 KIPS |
|
|
Image Classification (I8)
|
100% |
10626
1.99 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17848
298.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
17786
297.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
16355
273.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
281879
341.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
284051
344.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
246402
298.4 IPS |
|
|
Object Detection (F32)
|
100% |
8157
609.0 IPS |
|
|
Object Detection (F16)
|
100% |
8303
619.9 IPS |
|
|
Object Detection (I8)
|
54% |
7589
566.5 IPS |
|
|
Face Detection (F32)
|
100% |
41695
495.8 IPS |
|
|
Face Detection (F16)
|
100% |
42150
501.2 IPS |
|
|
Face Detection (I8)
|
88% |
36165
430.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
88000
682.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
88477
686.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
67665
524.7 IPS |
|
|
Style Transfer (F32)
|
100% |
493573
649.3 IPS |
|
|
Style Transfer (F16)
|
100% |
495019
651.2 IPS |
|
|
Style Transfer (I8)
|
98% |
415563
546.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51005
1.82 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
54702
1.95 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
40081
1.43 KIPS |
|
|
Text Classification (F32)
|
100% |
3113
4.47 KIPS |
|
|
Text Classification (F16)
|
100% |
3191
4.59 KIPS |
|
|
Text Classification (I8)
|
98% |
1945
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4338
79.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4372
80.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2538
46.7 IPS |
