Gigabyte Technology Co., Ltd. X570S AORUS PRO AX
Geekbench ML Score
24984
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10792
2.02 KIPS |
|
|
Image Classification (F16)
|
100% |
11274
2.11 KIPS |
|
|
Image Classification (I8)
|
100% |
9764
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17970
300.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
18093
302.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
16245
271.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
238015
288.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
239339
289.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
210409
254.8 IPS |
|
|
Object Detection (F32)
|
100% |
6713
501.1 IPS |
|
|
Object Detection (F16)
|
100% |
6730
502.5 IPS |
|
|
Object Detection (I8)
|
56% |
6357
474.6 IPS |
|
|
Face Detection (F32)
|
100% |
38564
458.5 IPS |
|
|
Face Detection (F16)
|
100% |
38932
462.9 IPS |
|
|
Face Detection (I8)
|
89% |
32714
389.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
73615
570.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
69104
535.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
55780
432.6 IPS |
|
|
Style Transfer (F32)
|
100% |
347136
456.6 IPS |
|
|
Style Transfer (F16)
|
100% |
348670
458.6 IPS |
|
|
Style Transfer (I8)
|
98% |
306444
403.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
47595
1.70 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
47480
1.70 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37107
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
2789
4.01 KIPS |
|
|
Text Classification (F16)
|
100% |
2749
3.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1821
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
4953
91.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4697
86.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2798
51.5 IPS |
