Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA
Geekbench AI Score
23024
Single Precision Score
24477
Half Precision Score
16325
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 06:06 AM |
| Views | 1 |
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% |
9367
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
9434
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
4936
920.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
14786
239.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12538
203.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12995
211.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
174223
203.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
251531
293.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
145030
169.9 IPS |
|
|
Object Detection (SP)
|
100% |
9192
729.1 IPS |
|
|
Object Detection (HP)
|
100% |
9830
779.8 IPS |
|
|
Object Detection (Q)
|
87% |
8072
648.3 IPS |
|
|
Face Detection (SP)
|
100% |
28998
344.6 IPS |
|
|
Face Detection (HP)
|
100% |
31120
369.8 IPS |
|
|
Face Detection (Q)
|
97% |
24708
294.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54705
421.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57973
446.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
42864
344.2 IPS |
|
|
Style Transfer (SP)
|
100% |
283303
364.2 IPS |
|
|
Style Transfer (HP)
|
100% |
351274
451.6 IPS |
|
|
Style Transfer (Q)
|
98% |
226914
292.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36343
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40134
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27654
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2922
50.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2395
44.9 IPS |
