Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
4298
Single Precision Score
1477
Half Precision Score
7253
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 04 2025 04:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| 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% |
4572
850.2 IPS |
|
|
Image Classification (HP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (Q)
|
99% |
8131
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4072
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8893
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5225
6.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
29081
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3799
301.4 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (Q)
|
86% |
7783
625.5 IPS |
|
|
Face Detection (SP)
|
100% |
10602
126.0 IPS |
|
|
Face Detection (HP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
10989
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11243
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2413
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18015
143.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21585
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13500
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25680
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1285
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4156
153.9 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.1 IPS |
|
|
Text Classification (HP)
|
100% |
693
924.5 IPS |
|
|
Text Classification (Q)
|
97% |
627
840.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2424
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4060
81.6 IPS |
