Intel(R) Client Systems NUC11PAHi7
Geekbench AI Score
18533
Single Precision Score
22026
Half Precision Score
15543
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JoshuaChung |
| Upload Date | August 24 2024 01:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC11PAHi7 |
| Motherboard | Intel Corporation NUC11PABi7 |
| 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% |
6691
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
7486
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
5973
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6893
111.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7395
119.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6714
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
228497
266.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
328434
383.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
204843
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
8359
663.0 IPS |
|
|
Object Detection (HP)
|
100% |
9211
730.6 IPS |
|
|
Object Detection (Q)
|
89% |
7642
611.7 IPS |
|
|
Face Detection (SP)
|
100% |
18591
220.9 IPS |
|
|
Face Detection (HP)
|
100% |
20341
241.7 IPS |
|
|
Face Detection (Q)
|
97% |
17509
208.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
65195
502.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88792
684.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
51133
412.8 IPS |
|
|
Style Transfer (SP)
|
100% |
367869
472.9 IPS |
|
|
Style Transfer (HP)
|
100% |
529302
680.4 IPS |
|
|
Style Transfer (Q)
|
98% |
329524
424.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35600
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42151
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29435
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
99% |
2301
3.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1455
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1038
23.1 IPS |
