EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
6020
Single Precision Score
1115
Half Precision Score
6256
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 21 2024 10:48 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% |
3476
646.4 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
99% |
5132
957.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
4079
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13976
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5568
6.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
44674
52.4 IPS |
|
|
Object Detection (SP)
|
100% |
4023
319.1 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
88% |
3112
249.4 IPS |
|
|
Face Detection (SP)
|
100% |
7443
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
97% |
5685
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14258
109.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1189
9.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
15963
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30208
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13500
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30844
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5222
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2760
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6778
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2112
47.1 IPS |
