Intel(R) Client Systems NUC9i7QNX
Geekbench AI Score
2137
Single Precision Score
990
Half Precision Score
2226
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 12:21 AM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.2 IPS |
|
|
Image Classification (Q)
|
96% |
1945
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
1456
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4168
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (Q)
|
87% |
7131
8.42 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
86% |
1361
109.4 IPS |
|
|
Face Detection (SP)
|
100% |
1722
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
2734
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4192
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1344
10.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3829
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10190
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7884
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10752
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2100
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
484
646.3 IPS |
|
|
Text Classification (Q)
|
97% |
349
468.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
60% |
1318
29.4 IPS |
