Gigabyte Technology Co., Ltd. Z690 UD DDR4
Geekbench AI Score
23584
Single Precision Score
37061
Half Precision Score
14272
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 30 2025 09:21 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
8677
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
15217
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
5915
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16173
262.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22691
367.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11902
193.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
134978
157.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
351206
409.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
108844
127.5 IPS |
|
|
Object Detection (SP)
|
100% |
11559
916.8 IPS |
|
|
Object Detection (HP)
|
100% |
16156
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
8011
644.4 IPS |
|
|
Face Detection (SP)
|
100% |
30624
363.9 IPS |
|
|
Face Detection (HP)
|
100% |
45198
537.0 IPS |
|
|
Face Detection (Q)
|
97% |
21994
262.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
60986
469.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
106709
822.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36316
290.9 IPS |
|
|
Style Transfer (SP)
|
100% |
249155
320.3 IPS |
|
|
Style Transfer (HP)
|
100% |
587355
755.1 IPS |
|
|
Style Transfer (Q)
|
98% |
182390
235.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35091
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46078
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19512
722.5 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4224
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1284
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4546
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1565
29.3 IPS |
