Intel(R) Client Systems NUC11PHi7
Geekbench AI Score
2422
Single Precision Score
1160
Half Precision Score
4592
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | conrad231 |
| Upload Date | January 26 2025 06:06 AM |
| Views | 9 |
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% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
99% |
4263
795.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2287
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
11893
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
4074
327.4 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
6548
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4330
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1643
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9931
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8812
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6716
8.63 IPS |
|
|
Style Transfer (Q)
|
98% |
15179
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3050
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.7 IPS |
|
|
Text Classification (Q)
|
97% |
1359
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2161
43.4 IPS |
