Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA
Geekbench AI Score
25150
Single Precision Score
27016
Half Precision Score
19485
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 14 2025 10:16 AM |
| Views | 5 |
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% |
9805
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
9575
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
8171
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15940
258.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12996
210.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13388
217.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
185518
216.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
270541
315.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
154054
180.5 IPS |
|
|
Object Detection (SP)
|
100% |
10929
866.9 IPS |
|
|
Object Detection (HP)
|
100% |
11106
881.0 IPS |
|
|
Object Detection (Q)
|
87% |
9473
760.8 IPS |
|
|
Face Detection (SP)
|
100% |
32178
382.3 IPS |
|
|
Face Detection (HP)
|
100% |
34266
407.2 IPS |
|
|
Face Detection (Q)
|
97% |
26608
317.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
61404
473.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
67365
519.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
48113
386.3 IPS |
|
|
Style Transfer (SP)
|
100% |
295370
379.7 IPS |
|
|
Style Transfer (HP)
|
100% |
388022
498.8 IPS |
|
|
Style Transfer (Q)
|
98% |
242782
313.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36364
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41231
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27048
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2273
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4275
73.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2587
48.5 IPS |
