Gigabyte Technology Co., Ltd. Z690 UD
Geekbench AI Score
5388
Single Precision Score
1640
Half Precision Score
8058
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 UD |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 UD |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4197
780.6 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.4 IPS |
|
|
Image Classification (Q)
|
99% |
6946
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4022
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11311
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
33038
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
4094
324.7 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
7407
595.3 IPS |
|
|
Face Detection (SP)
|
100% |
11130
132.2 IPS |
|
|
Face Detection (HP)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
11068
132.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12762
98.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17806
142.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24752
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12334
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28185
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1620
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3721
74.8 IPS |
