EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5757
Single Precision Score
2023
Half Precision Score
6839
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 08 2024 03:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z690 DARK KINGPIN |
| Motherboard | EVGA Corp. Z690 DARK KINGPIN |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2854
530.7 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
99% |
5197
969.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4453
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14061
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5576
6.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
45089
52.8 IPS |
|
|
Object Detection (SP)
|
100% |
3958
313.9 IPS |
|
|
Object Detection (HP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (Q)
|
88% |
3100
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
6936
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
7024
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13241
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
14215
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33068
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14226
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39133
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6984
258.6 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2659
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3349
74.7 IPS |
