Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI
Geekbench ML Score
784
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 09:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 256 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
397
74.3 IPS |
|
|
Image Classification (F16)
|
100% |
396
74.2 IPS |
|
|
Image Classification (I8)
|
100% |
359
67.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
514
8.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
588
9.81 IPS |
|
|
Image Segmentation (I8)
|
98% |
429
7.17 IPS |
|
|
Pose Estimation (F32)
|
0% |
2244
2.72 IPS |
|
|
Pose Estimation (F16)
|
0% |
2240
2.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
2030
2.46 IPS |
|
|
Object Detection (F32)
|
100% |
445
33.2 IPS |
|
|
Object Detection (F16)
|
100% |
446
33.3 IPS |
|
|
Object Detection (I8)
|
54% |
407
30.4 IPS |
|
|
Face Detection (F32)
|
18% |
787
9.36 IPS |
|
|
Face Detection (F16)
|
18% |
719
8.55 IPS |
|
|
Face Detection (I8)
|
89% |
598
7.12 IPS |
|
|
Depth Estimation (F32)
|
100% |
1642
12.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1632
12.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
1475
11.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5181
6.82 IPS |
|
|
Style Transfer (F16)
|
100% |
4721
6.21 IPS |
|
|
Style Transfer (I8)
|
98% |
4865
6.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1131
40.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1157
41.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
926
33.1 IPS |
|
|
Text Classification (F32)
|
100% |
274
394.0 IPS |
|
|
Text Classification (F16)
|
100% |
275
395.7 IPS |
|
|
Text Classification (I8)
|
98% |
197
283.0 IPS |
|
|
Machine Translation (F32)
|
100% |
390
7.17 IPS |
|
|
Machine Translation (F16)
|
100% |
389
7.16 IPS |
|
|
Machine Translation (I8)
|
70% |
266
4.89 IPS |
