EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
7086
Single Precision Score
7088
Half Precision Score
4985
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 22 2024 08:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
4663
867.3 IPS |
|
|
Image Classification (HP)
|
100% |
4657
866.1 IPS |
|
|
Image Classification (Q)
|
100% |
2012
374.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5980
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6103
98.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1811
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10656
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10736
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
36074
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
4230
335.5 IPS |
|
|
Object Detection (HP)
|
100% |
4084
324.0 IPS |
|
|
Object Detection (Q)
|
88% |
2016
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
14109
167.6 IPS |
|
|
Face Detection (HP)
|
100% |
14098
167.5 IPS |
|
|
Face Detection (Q)
|
100% |
9708
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12598
97.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
12727
98.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
5139
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31509
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31485
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14231
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6234
230.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6203
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2928
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
3519
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (Q)
|
85% |
4889
85.5 IPS |
