EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5211
Single Precision Score
1792
Half Precision Score
6897
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kicsipapucs |
| Upload Date | March 05 2025 05:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z690 DARK KINGPIN |
| Motherboard | EVGA Corp. Z690 DARK KINGPIN |
| Power Plan | Kiegyenslyozott |
| 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% |
3882
721.9 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (Q)
|
99% |
6428
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3368
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10105
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4397
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
31720
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (HP)
|
100% |
873
69.3 IPS |
|
|
Object Detection (Q)
|
86% |
5954
478.5 IPS |
|
|
Face Detection (SP)
|
100% |
10416
123.8 IPS |
|
|
Face Detection (HP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
10540
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11686
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2502
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17967
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21370
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10605
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31563
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3706
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2227
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5366
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
622
833.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2987
60.0 IPS |
