Gigabyte Technology Co., Ltd. AX370-Gaming 5
Geekbench ML Score
5589
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RandomHairball_2364 |
| Upload Date | August 16 2024 06:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AX370-Gaming 5 |
| Motherboard | Gigabyte Technology Co., Ltd. AX370-Gaming 5 |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2605
487.5 IPS |
|
|
Image Classification (F16)
|
100% |
2606
487.6 IPS |
|
|
Image Classification (I8)
|
100% |
2082
389.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3054
51.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3020
50.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2662
44.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
55585
67.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
55299
67.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
42505
51.5 IPS |
|
|
Object Detection (F32)
|
100% |
1918
143.2 IPS |
|
|
Object Detection (F16)
|
100% |
1883
140.5 IPS |
|
|
Object Detection (I8)
|
66% |
1668
124.5 IPS |
|
|
Face Detection (F32)
|
100% |
7528
89.5 IPS |
|
|
Face Detection (F16)
|
100% |
7460
88.7 IPS |
|
|
Face Detection (I8)
|
90% |
5841
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
17336
134.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17354
134.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
13078
101.4 IPS |
|
|
Style Transfer (F32)
|
100% |
56115
73.8 IPS |
|
|
Style Transfer (F16)
|
100% |
55994
73.7 IPS |
|
|
Style Transfer (I8)
|
98% |
45708
60.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7245
258.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7192
256.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4844
173.0 IPS |
|
|
Text Classification (F32)
|
100% |
1073
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1072
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
634
911.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1712
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1719
31.6 IPS |
|
|
Machine Translation (I8)
|
69% |
963
17.7 IPS |
