Intel(R) Client Systems NUC11BTMi9
Geekbench AI Score
1510
Single Precision Score
1598
Half Precision Score
1035
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | December 07 2024 02:23 PM |
| Views | 4 |
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% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.8 IPS |
|
|
Image Classification (Q)
|
100% |
585
108.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4639
5.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
2688
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
98% |
636
50.6 IPS |
|
|
Object Detection (Q)
|
86% |
627
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1125
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2808
21.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3152
24.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2072
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9834
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13351
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7310
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
853
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
476
635.5 IPS |
|
|
Text Classification (Q)
|
97% |
395
529.5 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
353
6.62 IPS |
