EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5526
Single Precision Score
2424
Half Precision Score
6423
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 07 2024 09:10 PM |
| Views | 10 |
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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3223
599.5 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.2 IPS |
|
|
Image Classification (Q)
|
99% |
5465
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3640
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10169
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8006
9.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
33501
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.2 IPS |
|
|
Object Detection (Q)
|
88% |
3244
260.0 IPS |
|
|
Face Detection (SP)
|
100% |
6889
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
6680
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11906
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3328
25.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13189
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23902
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20044
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32584
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4598
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6420
237.7 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3804
84.9 IPS |
