ASUS System Product Name
Geekbench ML Score
28433
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 12 2024 05:24 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 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 | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12589
2.36 KIPS |
|
|
Image Classification (F16)
|
100% |
12923
2.42 KIPS |
|
|
Image Classification (I8)
|
100% |
10857
2.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18981
317.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
19074
318.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
16738
279.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
275026
333.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
283359
343.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
250089
302.8 IPS |
|
|
Object Detection (F32)
|
100% |
8439
630.1 IPS |
|
|
Object Detection (F16)
|
100% |
8604
642.3 IPS |
|
|
Object Detection (I8)
|
54% |
7838
585.2 IPS |
|
|
Face Detection (F32)
|
100% |
44483
528.9 IPS |
|
|
Face Detection (F16)
|
100% |
44195
525.5 IPS |
|
|
Face Detection (I8)
|
88% |
36780
437.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
83897
650.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
85021
659.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
64829
502.7 IPS |
|
|
Style Transfer (F32)
|
100% |
475988
626.1 IPS |
|
|
Style Transfer (F16)
|
100% |
451838
594.4 IPS |
|
|
Style Transfer (I8)
|
98% |
404471
532.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
49458
1.77 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53759
1.92 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39912
1.43 KIPS |
|
|
Text Classification (F32)
|
100% |
3225
4.63 KIPS |
|
|
Text Classification (F16)
|
100% |
3361
4.83 KIPS |
|
|
Text Classification (I8)
|
98% |
1900
2.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
4644
85.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4652
85.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2527
46.5 IPS |
