EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
7657
Single Precision Score
7679
Half Precision Score
6149
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | September 16 2024 11:17 PM |
| Views | 10 |
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% |
4660
866.5 IPS |
|
|
Image Classification (HP)
|
100% |
4661
866.7 IPS |
|
|
Image Classification (Q)
|
100% |
3570
664.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6023
97.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13976
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14022
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16110
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
4378
347.3 IPS |
|
|
Object Detection (HP)
|
100% |
4249
337.0 IPS |
|
|
Object Detection (Q)
|
88% |
3385
271.3 IPS |
|
|
Face Detection (SP)
|
100% |
14472
172.0 IPS |
|
|
Face Detection (HP)
|
100% |
14497
172.3 IPS |
|
|
Face Detection (Q)
|
100% |
10242
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13920
107.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
13920
107.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
9166
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
41049
52.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40941
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25498
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6622
244.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6632
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2919
108.1 IPS |
|
|
Text Classification (SP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
3441
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3695
63.6 IPS |
|
|
Machine Translation (Q)
|
85% |
5024
87.9 IPS |
