Intel(R) Client Systems NUC9V7QNX
Geekbench AI Score
13112
Single Precision Score
21260
Half Precision Score
10609
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 03:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC9V7QNX |
| Motherboard | Intel Corporation NUC9V7QNB |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4437
825.1 IPS |
|
|
Image Classification (HP)
|
99% |
8123
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
4579
851.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7948
128.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9736
157.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7528
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
81721
95.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
202299
236.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
73267
85.8 IPS |
|
|
Object Detection (SP)
|
100% |
6349
503.6 IPS |
|
|
Object Detection (HP)
|
100% |
11021
874.2 IPS |
|
|
Object Detection (Q)
|
89% |
5664
453.3 IPS |
|
|
Face Detection (SP)
|
100% |
14555
172.9 IPS |
|
|
Face Detection (HP)
|
100% |
20209
240.1 IPS |
|
|
Face Detection (Q)
|
97% |
12448
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33634
259.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
63841
491.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
27965
234.6 IPS |
|
|
Style Transfer (SP)
|
100% |
131019
168.4 IPS |
|
|
Style Transfer (HP)
|
100% |
295745
380.2 IPS |
|
|
Style Transfer (Q)
|
98% |
117712
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22198
819.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37176
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16510
611.4 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3330
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1150
25.6 IPS |
