Intel(R) Client Systems NUC11BTMi9
Geekbench AI Score
2669
Single Precision Score
1245
Half Precision Score
4839
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | December 07 2024 11:31 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900KB @ 3.30GHz |
| 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% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (Q)
|
99% |
5768
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2019
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3490
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3433
4.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
16355
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
4635
372.5 IPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7572
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5536
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1696
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12251
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8579
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8660
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17834
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1900
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3675
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
505
676.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1820
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2598
52.2 IPS |
