Gigabyte Technology Co., Ltd. AX370-Gaming 5
Geekbench ML Score
5617
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RandomHairball_2364 |
| Upload Date | August 18 2024 10:22 AM |
| 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% |
2583
483.4 IPS |
|
|
Image Classification (F16)
|
100% |
2612
488.8 IPS |
|
|
Image Classification (I8)
|
100% |
2078
388.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3025
50.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3041
50.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2982
49.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
54160
65.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
53921
65.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
42163
51.1 IPS |
|
|
Object Detection (F32)
|
100% |
1884
140.6 IPS |
|
|
Object Detection (F16)
|
100% |
1899
141.8 IPS |
|
|
Object Detection (I8)
|
66% |
1665
124.3 IPS |
|
|
Face Detection (F32)
|
100% |
7518
89.4 IPS |
|
|
Face Detection (F16)
|
100% |
7489
89.0 IPS |
|
|
Face Detection (I8)
|
90% |
5875
69.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
17314
134.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17628
136.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
13174
102.2 IPS |
|
|
Style Transfer (F32)
|
100% |
56193
73.9 IPS |
|
|
Style Transfer (F16)
|
100% |
56104
73.8 IPS |
|
|
Style Transfer (I8)
|
98% |
47096
62.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7108
253.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7300
260.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5011
178.9 IPS |
|
|
Text Classification (F32)
|
100% |
1079
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1074
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
625
897.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1739
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1738
32.0 IPS |
|
|
Machine Translation (I8)
|
69% |
968
17.8 IPS |
