EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
5761
Single Precision Score
1095
Half Precision Score
6940
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 21 2024 10:33 PM |
| Views | 12 |
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% |
3419
635.9 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
99% |
5085
948.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
4058
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13989
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5465
6.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
44816
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
3986
316.2 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
88% |
3124
250.5 IPS |
|
|
Face Detection (SP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
449
5.34 IPS |
|
|
Face Detection (Q)
|
97% |
7450
88.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13975
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
15820
127.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29822
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14430
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41811
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5273
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6787
251.3 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
780
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3439
76.7 IPS |
