Intel(R) Client Systems NUC11PHi7
Geekbench AI Score
2407
Single Precision Score
1137
Half Precision Score
4558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | conrad231 |
| Upload Date | January 07 2025 04:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| Power Plan | Hchstleistung |
| 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% |
1859
345.7 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
4213
785.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2273
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3409
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
11836
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
86% |
4020
323.1 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
6605
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4842
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1642
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9951
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8565
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6502
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
14999
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2997
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
721
962.3 IPS |
|
|
Text Classification (Q)
|
97% |
1360
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1652
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2117
42.5 IPS |
