Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench ML Score
15111
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 16.0 MB x 4 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7770
1.45 KIPS |
|
|
Image Classification (F16)
|
100% |
8177
1.53 KIPS |
|
|
Image Classification (I8)
|
100% |
5590
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11845
197.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
11784
196.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8942
149.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
116420
141.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
117370
142.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
92629
112.2 IPS |
|
|
Object Detection (F32)
|
100% |
4253
317.5 IPS |
|
|
Object Detection (F16)
|
100% |
4207
314.0 IPS |
|
|
Object Detection (I8)
|
56% |
3567
266.3 IPS |
|
|
Face Detection (F32)
|
100% |
22598
268.7 IPS |
|
|
Face Detection (F16)
|
100% |
22896
272.2 IPS |
|
|
Face Detection (I8)
|
89% |
16332
194.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
47061
365.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
48705
377.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
30909
239.7 IPS |
|
|
Style Transfer (F32)
|
100% |
212654
279.7 IPS |
|
|
Style Transfer (F16)
|
100% |
212402
279.4 IPS |
|
|
Style Transfer (I8)
|
98% |
154415
203.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29969
1.07 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29951
1.07 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
16843
601.5 IPS |
|
|
Text Classification (F32)
|
100% |
2207
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2238
3.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1144
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
3415
62.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3578
65.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1533
28.2 IPS |
