EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
6055
Single Precision Score
1086
Half Precision Score
6779
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 22 2024 08:42 PM |
| Views | 5 |
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% |
3390
630.4 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
99% |
5177
965.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
4010
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14265
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5681
6.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
43172
50.6 IPS |
|
|
Object Detection (SP)
|
100% |
3972
315.0 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (Q)
|
88% |
3070
246.1 IPS |
|
|
Face Detection (SP)
|
100% |
7507
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (Q)
|
97% |
7393
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13938
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1207
9.30 IPS |
|
|
Depth Estimation (Q)
|
76% |
15793
127.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31929
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14438
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40568
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5399
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2531
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6553
242.6 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
742
993.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3235
72.2 IPS |
