EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
6055
Single Precision Score
1076
Half Precision Score
6969
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | September 03 2024 06:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3242
602.8 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
99% |
5358
999.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
4158
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14313
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5677
6.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
44521
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
4057
321.8 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
88% |
2996
240.1 IPS |
|
|
Face Detection (SP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
411
4.89 IPS |
|
|
Face Detection (Q)
|
97% |
6963
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14305
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1256
9.68 IPS |
|
|
Depth Estimation (Q)
|
76% |
16214
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32367
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13990
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40630
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5389
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7191
266.3 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
805
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3429
76.5 IPS |
