Gigabyte Technology Co., Ltd. Z690 UD DDR4
Geekbench AI Score
4633
Single Precision Score
1729
Half Precision Score
8335
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 30 2025 09:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 UD DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 UD DDR4 |
| Power Plan | Visoke performanse |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3932
731.2 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
99% |
6458
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10401
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8223
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4411
5.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
29003
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3216
255.1 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
7027
564.8 IPS |
|
|
Face Detection (SP)
|
100% |
7627
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
10869
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9654
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2277
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16646
132.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18749
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10793
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18505
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5987
221.7 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1677
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3518
70.7 IPS |
