Intel(R) Client Systems NUC11PHi7
Geekbench AI Score
3076
Single Precision Score
3074
Half Precision Score
8432
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1931
359.0 IPS |
|
|
Image Classification (HP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (Q)
|
100% |
5654
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5128
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3633
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3641
4.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
14262
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1866
148.0 IPS |
|
|
Object Detection (HP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (Q)
|
88% |
5769
462.5 IPS |
|
|
Face Detection (SP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
13747
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4922
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4911
37.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14515
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9806
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9796
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37208
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7611
281.9 IPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3309
57.0 IPS |
