Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA
Geekbench AI Score
23579
Single Precision Score
26632
Half Precision Score
18443
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:36 AM |
| 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% |
7276
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
9630
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
5703
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15779
255.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12843
208.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12793
208.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
174569
203.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
258273
301.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
153284
179.6 IPS |
|
|
Object Detection (SP)
|
100% |
10845
860.2 IPS |
|
|
Object Detection (HP)
|
100% |
10739
851.8 IPS |
|
|
Object Detection (Q)
|
87% |
8925
716.8 IPS |
|
|
Face Detection (SP)
|
100% |
28023
333.0 IPS |
|
|
Face Detection (HP)
|
100% |
32851
390.3 IPS |
|
|
Face Detection (Q)
|
97% |
25792
307.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
60017
462.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
66856
515.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
47291
379.7 IPS |
|
|
Style Transfer (SP)
|
100% |
283358
364.3 IPS |
|
|
Style Transfer (HP)
|
100% |
356251
458.0 IPS |
|
|
Style Transfer (Q)
|
98% |
232284
299.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33157
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42590
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27115
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3624
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2284
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2600
48.8 IPS |
