Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench ML Score
10314
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:35 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 | Intel(R) Arc(TM) A770 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4897
916.4 IPS |
|
|
Image Classification (F16)
|
100% |
4899
916.8 IPS |
|
|
Image Classification (I8)
|
99% |
4192
784.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6833
114.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7177
119.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
7352
122.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
72440
87.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
72362
87.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
59872
72.5 IPS |
|
|
Object Detection (F32)
|
100% |
4529
338.1 IPS |
|
|
Object Detection (F16)
|
100% |
4669
348.6 IPS |
|
|
Object Detection (I8)
|
60% |
4172
311.4 IPS |
|
|
Face Detection (F32)
|
100% |
17109
203.4 IPS |
|
|
Face Detection (F16)
|
100% |
17072
203.0 IPS |
|
|
Face Detection (I8)
|
88% |
12810
152.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
29554
229.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
29411
228.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
24803
192.3 IPS |
|
|
Style Transfer (F32)
|
100% |
171852
226.1 IPS |
|
|
Style Transfer (F16)
|
100% |
170944
224.9 IPS |
|
|
Style Transfer (I8)
|
98% |
134362
176.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16690
596.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16767
598.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12548
448.1 IPS |
|
|
Text Classification (F32)
|
90% |
766
1.10 KIPS |
|
|
Text Classification (F16)
|
90% |
767
1.10 KIPS |
|
|
Text Classification (I8)
|
90% |
596
856.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2182
40.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2178
40.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1355
24.9 IPS |
