Gigabyte Technology Co., Ltd. Z390 UD
Geekbench AI Score
18142
Single Precision Score
19554
Half Precision Score
13716
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 05:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 UD |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 UD |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7987
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
7367
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
6638
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10671
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8670
140.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9008
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
112853
131.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
174604
203.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
95026
111.3 IPS |
|
|
Object Detection (SP)
|
100% |
8090
641.7 IPS |
|
|
Object Detection (HP)
|
100% |
7137
566.1 IPS |
|
|
Object Detection (Q)
|
89% |
6564
525.4 IPS |
|
|
Face Detection (SP)
|
100% |
20951
248.9 IPS |
|
|
Face Detection (HP)
|
100% |
23046
273.8 IPS |
|
|
Face Detection (Q)
|
97% |
16303
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
46202
356.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54277
418.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
34314
276.6 IPS |
|
|
Style Transfer (SP)
|
100% |
199026
255.9 IPS |
|
|
Style Transfer (HP)
|
100% |
249835
321.2 IPS |
|
|
Style Transfer (Q)
|
98% |
163407
210.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33248
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38568
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23500
870.2 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2491
3.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1644
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1790
39.9 IPS |
