Intel(R) Client Systems NUC11PAHi7
Geekbench AI Score
18340
Single Precision Score
22252
Half Precision Score
14954
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JoshuaChung |
| Upload Date | August 26 2024 02:44 PM |
| 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% |
6394
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
7018
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
5797
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6722
109.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7483
121.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6871
111.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
223733
261.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
326978
381.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
197802
231.6 IPS |
|
|
Object Detection (SP)
|
100% |
7202
571.3 IPS |
|
|
Object Detection (HP)
|
100% |
8374
664.2 IPS |
|
|
Object Detection (Q)
|
89% |
7117
569.7 IPS |
|
|
Face Detection (SP)
|
100% |
18301
217.5 IPS |
|
|
Face Detection (HP)
|
100% |
20615
244.9 IPS |
|
|
Face Detection (Q)
|
97% |
17266
205.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63943
492.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
92035
709.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
49094
396.3 IPS |
|
|
Style Transfer (SP)
|
100% |
349688
449.5 IPS |
|
|
Style Transfer (HP)
|
100% |
530298
681.7 IPS |
|
|
Style Transfer (Q)
|
98% |
314993
406.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35728
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41537
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27555
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
2841
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1323
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1025
22.9 IPS |
