Intel(R) Client Systems NUC11PHi7
Geekbench AI Score
1496
Single Precision Score
1494
Half Precision Score
827
Quantized Score
Geekbench AI 1.0.0 Corporate for Linux AVX2
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.1 LTS |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1042
193.7 IPS |
|
|
Image Classification (HP)
|
100% |
1037
192.8 IPS |
|
|
Image Classification (Q)
|
99% |
420
78.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
595
9.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
1690
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1690
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1316
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
1104
87.6 IPS |
|
|
Object Detection (HP)
|
100% |
1100
87.3 IPS |
|
|
Object Detection (Q)
|
86% |
580
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
1921
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1806
13.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
1815
14.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
1252
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2313
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2314
2.97 IPS |
|
|
Style Transfer (Q)
|
98% |
2908
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
757
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
494
663.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (Q)
|
58% |
443
10.4 IPS |
