EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
5967
Single Precision Score
1111
Half Precision Score
6686
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 21 2024 11:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| 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 i9-13900KS |
| 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% |
3364
625.6 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
99% |
5324
993.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
3988
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13953
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5536
6.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
41329
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
4047
321.0 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
88% |
3042
243.8 IPS |
|
|
Face Detection (SP)
|
100% |
7438
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
7432
88.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13806
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1400
10.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
14200
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32041
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14478
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35877
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4375
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6778
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
779
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
60% |
3347
74.7 IPS |
