Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
2738
Single Precision Score
3948
Half Precision Score
6204
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 04 2025 04:32 AM |
| Views | 4 |
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% |
1642
305.3 IPS |
|
|
Image Classification (HP)
|
100% |
2714
504.8 IPS |
|
|
Image Classification (Q)
|
99% |
4201
783.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4025
65.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4827
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
3195
3.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
13121
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
98% |
2384
189.7 IPS |
|
|
Object Detection (Q)
|
90% |
4460
356.6 IPS |
|
|
Face Detection (SP)
|
100% |
5139
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
7970
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
10732
127.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5193
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8647
66.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11737
91.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11370
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17743
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30010
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3324
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6826
252.8 IPS |
|
|
Text Classification (SP)
|
71% |
1227
1.77 KIPS |
|
|
Text Classification (HP)
|
71% |
1501
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1530
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1815
31.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1805
31.1 IPS |
