EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
5899
Single Precision Score
1091
Half Precision Score
6776
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 22 2024 08:20 PM |
| Views | 3 |
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% |
3391
630.5 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
99% |
5060
943.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
3940
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14256
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5662
6.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
41350
48.5 IPS |
|
|
Object Detection (SP)
|
100% |
3991
316.6 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
88% |
2970
238.1 IPS |
|
|
Face Detection (SP)
|
100% |
6916
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
97% |
7383
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13919
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1282
9.88 IPS |
|
|
Depth Estimation (Q)
|
76% |
15767
127.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29916
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14113
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41526
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6874
254.5 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3283
73.2 IPS |
