EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
5914
Single Precision Score
1125
Half Precision Score
7043
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 21 2024 10:54 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% |
3352
623.4 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
99% |
5330
994.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
4084
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13981
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5522
6.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
44974
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
4012
318.2 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
88% |
3148
252.4 IPS |
|
|
Face Detection (SP)
|
100% |
7524
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
97% |
7520
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13986
107.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1356
10.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
16052
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32622
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13775
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42616
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6897
255.4 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3497
78.0 IPS |
