ASUS System Product Name
Geekbench ML Score
27413
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 04 2024 03:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| 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% |
11408
2.13 KIPS |
|
|
Image Classification (F16)
|
100% |
11941
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9995
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19252
321.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
19307
322.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
17629
294.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
283456
343.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
285268
345.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
246608
298.6 IPS |
|
|
Object Detection (F32)
|
100% |
7146
533.5 IPS |
|
|
Object Detection (F16)
|
100% |
7206
537.9 IPS |
|
|
Object Detection (I8)
|
54% |
6842
510.8 IPS |
|
|
Face Detection (F32)
|
100% |
43883
521.8 IPS |
|
|
Face Detection (F16)
|
100% |
43571
518.1 IPS |
|
|
Face Detection (I8)
|
88% |
36887
438.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
83253
645.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
82454
639.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
63121
489.5 IPS |
|
|
Style Transfer (F32)
|
100% |
496722
653.4 IPS |
|
|
Style Transfer (F16)
|
100% |
492592
648.0 IPS |
|
|
Style Transfer (I8)
|
98% |
410802
540.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50296
1.80 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
49168
1.76 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38121
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2681
3.85 KIPS |
|
|
Text Classification (F16)
|
100% |
2656
3.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1710
2.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
4851
89.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4840
89.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2655
48.9 IPS |
