NZXT N7 Z790
Geekbench AI Score
18050
Single Precision Score
29924
Half Precision Score
14186
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Ventangelo |
| Upload Date | August 13 2025 01:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NZXT N7 Z790 |
| Motherboard | NZXT N7 Z790 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7111
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
12404
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
6355
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12566
203.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17307
280.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11452
186.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
89030
103.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
244451
285.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77018
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
8939
709.1 IPS |
|
|
Object Detection (HP)
|
100% |
15038
1.19 KIPS |
|
|
Object Detection (Q)
|
84% |
7891
636.5 IPS |
|
|
Face Detection (SP)
|
100% |
21539
255.9 IPS |
|
|
Face Detection (HP)
|
100% |
34251
407.0 IPS |
|
|
Face Detection (Q)
|
97% |
19232
229.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43363
334.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
80012
616.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35480
283.8 IPS |
|
|
Style Transfer (SP)
|
100% |
144427
185.7 IPS |
|
|
Style Transfer (HP)
|
100% |
346622
445.6 IPS |
|
|
Style Transfer (Q)
|
98% |
126643
163.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28777
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46671
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22065
817.1 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2013
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4018
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1945
36.5 IPS |
