EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
7766
Single Precision Score
7776
Half Precision Score
6449
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | September 16 2024 11:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| 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 i9-14900KF |
| 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% |
4690
872.2 IPS |
|
|
Image Classification (HP)
|
100% |
4717
877.3 IPS |
|
|
Image Classification (Q)
|
100% |
3343
621.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6165
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6110
99.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3800
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14081
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14071
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15961
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
4422
350.7 IPS |
|
|
Object Detection (HP)
|
100% |
4432
351.6 IPS |
|
|
Object Detection (Q)
|
88% |
3625
290.6 IPS |
|
|
Face Detection (SP)
|
100% |
14474
172.0 IPS |
|
|
Face Detection (HP)
|
100% |
14685
174.5 IPS |
|
|
Face Detection (Q)
|
100% |
8722
103.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14066
108.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
14059
108.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
10286
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41350
53.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41224
53.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27460
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6678
246.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6712
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5268
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2727
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (Q)
|
85% |
4789
83.8 IPS |
