Intel Corporation NUC8i7HNK
Geekbench AI Score
1469
Single Precision Score
721
Half Precision Score
2065
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 06:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8705G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel Corporation NUC8i7HNK |
| Motherboard | Intel Corporation NUC8i7HNB |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8705G |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1139
211.9 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2369
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
4021
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
58% |
1181
129.0 IPS |
|
|
Face Detection (SP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (Q)
|
96% |
3002
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2932
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
3788
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5583
7.18 IPS |
|
|
Style Transfer (HP)
|
100% |
4512
5.80 IPS |
|
|
Style Transfer (Q)
|
87% |
5873
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1817
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.7 IPS |
|
|
Text Classification (Q)
|
97% |
762
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1187
22.9 IPS |
