Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench ML Score
1710
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | wxfisch |
| Upload Date | August 15 2024 05:40 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 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 | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
604
113.0 IPS |
|
|
Image Classification (F16)
|
100% |
603
112.8 IPS |
|
|
Image Classification (I8)
|
100% |
569
106.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1106
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1109
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
961
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6396
7.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
6409
7.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
5744
6.96 IPS |
|
|
Object Detection (F32)
|
100% |
655
48.9 IPS |
|
|
Object Detection (F16)
|
100% |
656
49.0 IPS |
|
|
Object Detection (I8)
|
62% |
617
46.1 IPS |
|
|
Face Detection (F32)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (I8)
|
89% |
1531
18.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3485
27.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3492
27.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
3170
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10974
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10968
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
9723
12.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2789
99.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2795
99.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2118
75.6 IPS |
|
|
Text Classification (F32)
|
100% |
672
966.1 IPS |
|
|
Text Classification (F16)
|
100% |
662
951.3 IPS |
|
|
Text Classification (I8)
|
98% |
469
674.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1162
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1163
21.4 IPS |
|
|
Machine Translation (I8)
|
70% |
648
11.9 IPS |
