Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA
Geekbench AI Score
17646
Single Precision Score
19852
Half Precision Score
15035
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 06:10 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% |
4964
923.1 IPS |
|
|
Image Classification (HP)
|
100% |
7005
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
4557
850.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
12028
195.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12364
200.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12015
195.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
171906
200.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
253184
295.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
145739
170.8 IPS |
|
|
Object Detection (SP)
|
100% |
9265
734.9 IPS |
|
|
Object Detection (HP)
|
100% |
9366
742.9 IPS |
|
|
Object Detection (Q)
|
87% |
7941
637.8 IPS |
|
|
Face Detection (SP)
|
100% |
28845
342.7 IPS |
|
|
Face Detection (HP)
|
100% |
31173
370.4 IPS |
|
|
Face Detection (Q)
|
97% |
24631
293.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
61640
474.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57136
440.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
44048
353.7 IPS |
|
|
Style Transfer (SP)
|
100% |
275111
353.7 IPS |
|
|
Style Transfer (HP)
|
100% |
356918
458.8 IPS |
|
|
Style Transfer (Q)
|
98% |
224332
289.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29552
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34594
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21416
793.0 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
729
976.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2714
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2453
46.0 IPS |
