Intel(R) Client Systems NUC11PHi7
Geekbench AI Score
3115
Single Precision Score
3151
Half Precision Score
8459
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | metaColin |
| Upload Date | March 28 2025 04:22 AM |
| Views | 13 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1894
352.3 IPS |
|
|
Image Classification (HP)
|
100% |
1951
362.8 IPS |
|
|
Image Classification (Q)
|
100% |
5703
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5475
88.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3509
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
13968
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
1868
148.1 IPS |
|
|
Object Detection (Q)
|
88% |
5771
462.6 IPS |
|
|
Face Detection (SP)
|
100% |
4528
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
4433
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
13812
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4781
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4881
37.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
14589
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9585
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9752
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36021
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7550
279.6 IPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3435
59.2 IPS |
