Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench ML Score
5885
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 25 2024 03:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3073
575.0 IPS |
|
|
Image Classification (F16)
|
100% |
3674
687.5 IPS |
|
|
Image Classification (I8)
|
99% |
6589
1.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1648
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1660
27.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2532
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11768
14.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
11639
14.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
40624
49.2 IPS |
|
|
Object Detection (F32)
|
100% |
3300
246.3 IPS |
|
|
Object Detection (F16)
|
100% |
3363
251.1 IPS |
|
|
Object Detection (I8)
|
62% |
3468
258.9 IPS |
|
|
Face Detection (F32)
|
100% |
5037
59.9 IPS |
|
|
Face Detection (F16)
|
100% |
4917
58.5 IPS |
|
|
Face Detection (I8)
|
89% |
6482
77.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13117
101.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12955
100.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
25130
194.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28068
36.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28963
38.1 IPS |
|
|
Style Transfer (I8)
|
98% |
33910
44.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5932
211.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5718
204.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7401
264.3 IPS |
|
|
Text Classification (F32)
|
100% |
3120
4.48 KIPS |
|
|
Text Classification (F16)
|
100% |
2955
4.25 KIPS |
|
|
Text Classification (I8)
|
98% |
491
705.7 IPS |
|
|
Machine Translation (F32)
|
100% |
3600
66.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3562
65.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4086
75.2 IPS |
