ASUS System Product Name
Geekbench ML Score
27110
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 03:44 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12572
2.35 KIPS |
|
|
Image Classification (F16)
|
100% |
12382
2.32 KIPS |
|
|
Image Classification (I8)
|
100% |
10774
2.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15607
260.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
15633
261.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
14521
242.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
281725
341.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
279674
338.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
245217
296.9 IPS |
|
|
Object Detection (F32)
|
100% |
8072
602.6 IPS |
|
|
Object Detection (F16)
|
100% |
8001
597.3 IPS |
|
|
Object Detection (I8)
|
54% |
7506
560.3 IPS |
|
|
Face Detection (F32)
|
100% |
37952
451.3 IPS |
|
|
Face Detection (F16)
|
100% |
38491
457.7 IPS |
|
|
Face Detection (I8)
|
88% |
33816
402.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
81028
628.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
81445
631.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
64066
496.8 IPS |
|
|
Style Transfer (F32)
|
100% |
478907
630.0 IPS |
|
|
Style Transfer (F16)
|
100% |
484853
637.8 IPS |
|
|
Style Transfer (I8)
|
98% |
424900
558.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51100
1.82 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53139
1.90 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38836
1.39 KIPS |
|
|
Text Classification (F32)
|
100% |
3097
4.45 KIPS |
|
|
Text Classification (F16)
|
100% |
3408
4.90 KIPS |
|
|
Text Classification (I8)
|
98% |
2013
2.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
3966
73.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3997
73.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2421
44.6 IPS |
