ASUS System Product Name
Geekbench ML Score
33401
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 11:43 PM |
| Views | 8 |
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 5090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
15514
2.90 KIPS |
|
|
Image Classification (F16)
|
100% |
15061
2.82 KIPS |
|
|
Image Classification (I8)
|
100% |
12806
2.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
21880
365.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
22341
373.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
21031
351.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
367705
445.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
369581
447.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
303756
367.8 IPS |
|
|
Object Detection (F32)
|
100% |
9862
736.2 IPS |
|
|
Object Detection (F16)
|
100% |
9975
744.7 IPS |
|
|
Object Detection (I8)
|
49% |
9312
695.2 IPS |
|
|
Face Detection (F32)
|
100% |
50212
597.0 IPS |
|
|
Face Detection (F16)
|
100% |
50214
597.1 IPS |
|
|
Face Detection (I8)
|
88% |
42298
502.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
102331
793.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
102123
792.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
76017
589.5 IPS |
|
|
Style Transfer (F32)
|
100% |
529251
696.2 IPS |
|
|
Style Transfer (F16)
|
100% |
517824
681.2 IPS |
|
|
Style Transfer (I8)
|
98% |
438494
576.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
62836
2.24 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
61681
2.20 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
45403
1.62 KIPS |
|
|
Text Classification (F32)
|
100% |
3732
5.36 KIPS |
|
|
Text Classification (F16)
|
100% |
3764
5.41 KIPS |
|
|
Text Classification (I8)
|
98% |
2359
3.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
5044
92.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5050
92.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2935
54.0 IPS |
