EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
8638
Single Precision Score
8647
Half Precision Score
18246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | January 08 2025 11:24 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5104
949.2 IPS |
|
|
Image Classification (HP)
|
100% |
5198
966.7 IPS |
|
|
Image Classification (Q)
|
100% |
10754
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6648
107.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6652
107.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11865
192.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10679
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10682
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
39151
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
5087
403.5 IPS |
|
|
Object Detection (HP)
|
100% |
5095
404.2 IPS |
|
|
Object Detection (Q)
|
88% |
11291
905.1 IPS |
|
|
Face Detection (SP)
|
100% |
16209
192.6 IPS |
|
|
Face Detection (HP)
|
100% |
16336
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
28630
340.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13582
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13521
104.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32204
250.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31836
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31686
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
104295
134.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6450
238.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6448
238.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18960
702.2 IPS |
|
|
Text Classification (SP)
|
100% |
4686
6.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4638
6.19 KIPS |
|
|
Text Classification (Q)
|
92% |
6718
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5924
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5936
102.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5921
102.0 IPS |
