Intel(R) Client Systems NUC9i7QNX
Geekbench AI Score
2185
Single Precision Score
994
Half Precision Score
2978
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | January 05 2025 11:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC9i7QNX |
| Motherboard | Intel Corporation NUC9i7QNB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
96% |
2587
483.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
1754
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3495
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
5972
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
1726
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
4788
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4231
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6149
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8306
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6400
8.23 IPS |
|
|
Style Transfer (Q)
|
87% |
10603
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1966
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
1138
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
598
798.2 IPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1794
34.7 IPS |
