Intel(R) Client Systems NUC9i7QNX
Geekbench AI Score
8533
Single Precision Score
12433
Half Precision Score
6323
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 12:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
3105
577.4 IPS |
|
|
Image Classification (HP)
|
99% |
4951
923.4 IPS |
|
|
Image Classification (Q)
|
100% |
3057
568.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3902
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4539
73.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3525
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
63528
74.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
134256
156.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
53614
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
3790
300.6 IPS |
|
|
Object Detection (HP)
|
100% |
4934
391.3 IPS |
|
|
Object Detection (Q)
|
89% |
3003
240.4 IPS |
|
|
Face Detection (SP)
|
100% |
8338
99.1 IPS |
|
|
Face Detection (HP)
|
100% |
10485
124.6 IPS |
|
|
Face Detection (Q)
|
97% |
6929
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26263
202.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42664
329.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
18492
149.0 IPS |
|
|
Style Transfer (SP)
|
100% |
97712
125.6 IPS |
|
|
Style Transfer (HP)
|
100% |
212057
272.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81912
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14903
550.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22390
826.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10723
397.1 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2509
3.35 KIPS |
|
|
Text Classification (Q)
|
97% |
892
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
60% |
587
13.1 IPS |
