Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA
Geekbench AI Score
21905
Single Precision Score
23877
Half Precision Score
16373
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA-CF |
| 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 |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8277
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
8872
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
7269
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14625
237.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12073
195.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12073
196.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
166399
194.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
235971
275.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
135650
158.9 IPS |
|
|
Object Detection (SP)
|
100% |
9777
775.5 IPS |
|
|
Object Detection (HP)
|
100% |
9696
769.1 IPS |
|
|
Object Detection (Q)
|
87% |
8097
650.3 IPS |
|
|
Face Detection (SP)
|
100% |
28502
338.7 IPS |
|
|
Face Detection (HP)
|
100% |
31105
369.6 IPS |
|
|
Face Detection (Q)
|
97% |
22781
271.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55125
424.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58247
448.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
40089
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
270350
347.5 IPS |
|
|
Style Transfer (HP)
|
100% |
358505
460.9 IPS |
|
|
Style Transfer (Q)
|
98% |
222674
287.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31302
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38131
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24625
911.8 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1539
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3018
52.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1864
35.0 IPS |
