Intel(R) Client Systems NUC9V7QNX
Geekbench AI Score
3434
Single Precision Score
3490
Half Precision Score
4812
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 03:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9850H CPU @ 2.60GHz |
| 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% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.8 IPS |
|
|
Image Classification (Q)
|
100% |
2141
398.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4726
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4742
5.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
9020
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (Q)
|
87% |
3458
277.4 IPS |
|
|
Face Detection (SP)
|
100% |
4126
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (Q)
|
97% |
9147
109.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6084
46.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
6083
46.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
9459
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13703
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13850
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25254
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2815
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5308
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (Q)
|
91% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (Q)
|
90% |
2312
40.2 IPS |
