EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
6008
Single Precision Score
1097
Half Precision Score
6265
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | September 03 2024 06:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| Power Plan | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3411
634.4 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (Q)
|
99% |
5266
982.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
4151
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14298
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5691
6.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
43932
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
4158
329.8 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
88% |
3104
248.9 IPS |
|
|
Face Detection (SP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.32 IPS |
|
|
Face Detection (Q)
|
97% |
5428
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14634
112.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
15324
123.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32709
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14219
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37748
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6684
247.5 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
430
575.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2763
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3468
77.4 IPS |
