Intel(R) Client Systems NUC11BTMi9
Geekbench AI Score
2017
Single Precision Score
2016
Half Precision Score
1033
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Hyperion60 |
| Upload Date | August 29 2025 09:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900KB @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Intel(R) Client Systems NUC11BTMi9 |
| Motherboard | Intel Corporation NUC11DBBi9 |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
1491
277.4 IPS |
|
|
Image Classification (Q)
|
99% |
737
137.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
672
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2395
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2391
2.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
2002
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (Q)
|
85% |
638
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
1632
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2389
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2393
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1375
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2744
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
2756
3.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4003
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1618
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1027
38.1 IPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
512
687.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (Q)
|
58% |
464
10.9 IPS |
