Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench ML Score
15089
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 11:19 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7043
1.32 KIPS |
|
|
Image Classification (F16)
|
100% |
7277
1.36 KIPS |
|
|
Image Classification (I8)
|
100% |
5083
951.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
12231
204.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
12233
204.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
9643
161.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
107643
130.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
108862
131.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
83112
100.6 IPS |
|
|
Object Detection (F32)
|
100% |
5324
397.5 IPS |
|
|
Object Detection (F16)
|
100% |
5262
392.9 IPS |
|
|
Object Detection (I8)
|
63% |
4191
312.9 IPS |
|
|
Face Detection (F32)
|
100% |
21079
250.6 IPS |
|
|
Face Detection (F16)
|
100% |
22112
262.9 IPS |
|
|
Face Detection (I8)
|
89% |
15531
184.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
44155
342.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43748
339.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
29730
230.6 IPS |
|
|
Style Transfer (F32)
|
100% |
181185
238.3 IPS |
|
|
Style Transfer (F16)
|
100% |
168713
221.9 IPS |
|
|
Style Transfer (I8)
|
98% |
130290
171.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31225
1.12 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32112
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18993
678.3 IPS |
|
|
Text Classification (F32)
|
100% |
2490
3.58 KIPS |
|
|
Text Classification (F16)
|
100% |
2481
3.57 KIPS |
|
|
Text Classification (I8)
|
98% |
1263
1.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
3674
67.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3675
67.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1605
29.5 IPS |
