Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
2779
Single Precision Score
4019
Half Precision Score
6301
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 06 2026 08:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
2676
497.6 IPS |
|
|
Image Classification (Q)
|
99% |
4124
769.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3989
64.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4647
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4380
5.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
3192
3.72 IPS |
|
|
Pose Estimation (Q)
|
97% |
13104
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
98% |
2341
186.3 IPS |
|
|
Object Detection (Q)
|
90% |
4521
361.5 IPS |
|
|
Face Detection (SP)
|
100% |
5092
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8066
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
10802
128.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5119
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8512
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11591
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11586
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16075
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29992
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3306
122.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6795
251.6 IPS |
|
|
Text Classification (SP)
|
71% |
1178
1.70 KIPS |
|
|
Text Classification (HP)
|
71% |
1609
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1451
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2348
40.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2350
40.5 IPS |
