EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
7867
Single Precision Score
7902
Half Precision Score
7246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | December 20 2024 09:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| 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(R) Core(TM) i9-14900KS |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4611
857.6 IPS |
|
|
Image Classification (HP)
|
100% |
4617
858.7 IPS |
|
|
Image Classification (Q)
|
100% |
10982
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6834
110.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6812
110.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12336
200.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14376
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14404
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
39800
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
4418
350.5 IPS |
|
|
Object Detection (HP)
|
100% |
4419
350.5 IPS |
|
|
Object Detection (Q)
|
88% |
2099
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
14429
171.4 IPS |
|
|
Face Detection (HP)
|
100% |
14606
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
4782
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13531
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13555
104.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11744
91.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34700
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35925
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27971
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3003
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2076
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3604
62.1 IPS |
