Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI
Geekbench ML Score
25716
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 01:17 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 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% |
11213
2.10 KIPS |
|
|
Image Classification (F16)
|
100% |
11014
2.06 KIPS |
|
|
Image Classification (I8)
|
100% |
10183
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15452
258.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
15432
257.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
14147
236.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
278626
337.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
274359
332.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
243467
294.8 IPS |
|
|
Object Detection (F32)
|
100% |
6978
521.0 IPS |
|
|
Object Detection (F16)
|
100% |
6848
511.2 IPS |
|
|
Object Detection (I8)
|
54% |
6329
472.5 IPS |
|
|
Face Detection (F32)
|
100% |
37203
442.4 IPS |
|
|
Face Detection (F16)
|
100% |
38023
452.1 IPS |
|
|
Face Detection (I8)
|
88% |
32778
389.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
79177
614.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
79181
614.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
61680
478.3 IPS |
|
|
Style Transfer (F32)
|
100% |
461465
607.0 IPS |
|
|
Style Transfer (F16)
|
100% |
457861
602.3 IPS |
|
|
Style Transfer (I8)
|
98% |
407849
536.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
49419
1.76 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
49824
1.78 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37913
1.35 KIPS |
|
|
Text Classification (F32)
|
100% |
2889
4.15 KIPS |
|
|
Text Classification (F16)
|
100% |
2849
4.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1800
2.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
4037
74.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4087
75.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2405
44.3 IPS |
