EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
6020
Single Precision Score
1072
Half Precision Score
6742
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 22 2024 08:24 PM |
| Views | 4 |
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% |
3214
597.7 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
99% |
5236
976.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
4033
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14276
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5720
6.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
43492
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
3973
315.1 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
88% |
3137
251.5 IPS |
|
|
Face Detection (SP)
|
100% |
7334
87.1 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (Q)
|
97% |
7358
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13918
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1287
9.91 IPS |
|
|
Depth Estimation (Q)
|
76% |
15547
125.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32439
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14229
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
41174
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5223
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6642
246.0 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3186
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2842
63.4 IPS |
