Gigabyte Technology Co., Ltd. Z690 UD AX DDR4
Geekbench AI Score
4087
Single Precision Score
1563
Half Precision Score
6906
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SimonMH111 |
| Upload Date | March 31 2025 02:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 UD AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 UD AX DDR4 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3265
607.2 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
99% |
6191
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3520
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7062
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4703
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
23528
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2920
231.6 IPS |
|
|
Object Detection (HP)
|
100% |
699
55.5 IPS |
|
|
Object Detection (Q)
|
86% |
6470
520.0 IPS |
|
|
Face Detection (SP)
|
100% |
6906
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
9620
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8923
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2167
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14374
114.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16850
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11434
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19691
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2956
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4415
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1796
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3450
69.3 IPS |
