EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
5952
Single Precision Score
1136
Half Precision Score
6908
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 21 2024 11:05 PM |
| Views | 14 |
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% |
3427
637.3 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
99% |
5103
951.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
4066
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14065
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5625
6.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
44931
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
3985
316.1 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
88% |
3146
252.2 IPS |
|
|
Face Detection (SP)
|
100% |
7366
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (Q)
|
97% |
7459
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13339
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1363
10.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
15929
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29908
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14112
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42770
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2725
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6960
257.7 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
727
973.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3286
73.3 IPS |
