Intel(R) Client Systems NUC11BTMi9
Geekbench AI Score
1515
Single Precision Score
1597
Half Precision Score
1038
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | December 07 2024 11:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC11BTMi9 |
| Motherboard | Intel Corporation NUC11DBBi9 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | 11th Gen Intel(R) Core(TM) i9-11900KB @ 3.30GHz |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
682
126.8 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
100% |
588
109.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3655
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4626
5.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2680
3.14 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
98% |
635
50.5 IPS |
|
|
Object Detection (Q)
|
86% |
627
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1121
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2787
21.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3087
23.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2070
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9874
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13350
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7315
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
851
31.5 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.7 IPS |
|
|
Text Classification (Q)
|
97% |
409
547.7 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
353
6.61 IPS |
