Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
29240
Single Precision Score
45673
Half Precision Score
22670
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 06 2026 08:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11301
2.10 KIPS |
|
|
Image Classification (HP)
|
99% |
17414
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
10012
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21080
341.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27640
448.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18779
305.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
176637
206.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
472568
551.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
162387
190.3 IPS |
|
|
Object Detection (SP)
|
100% |
13825
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
21945
1.74 KIPS |
|
|
Object Detection (Q)
|
85% |
11763
946.3 IPS |
|
|
Face Detection (SP)
|
100% |
39539
469.8 IPS |
|
|
Face Detection (HP)
|
100% |
56635
673.0 IPS |
|
|
Face Detection (Q)
|
97% |
34366
409.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
71896
553.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
126880
980.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55233
441.6 IPS |
|
|
Style Transfer (SP)
|
100% |
305210
392.4 IPS |
|
|
Style Transfer (HP)
|
100% |
747556
961.0 IPS |
|
|
Style Transfer (Q)
|
98% |
269620
347.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48483
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61352
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35123
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4566
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2182
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5193
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5259
90.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2546
47.7 IPS |
