Intel(R) Client Systems NUC11TNHv5
Geekbench AI Score
579
Single Precision Score
587
Half Precision Score
292
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:23 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1145G7 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Intel(R) Client Systems NUC11TNHv5 |
| Motherboard | Intel Corporation NUC11TNBv5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
343
63.9 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (Q)
|
99% |
141
26.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
229
3.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
498
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (Q)
|
85% |
194
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (HP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (Q)
|
97% |
459
5.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
737
5.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
735
5.66 IPS |
|
|
Depth Estimation (Q)
|
63% |
386
3.62 IPS |
|
|
Style Transfer (SP)
|
100% |
1267
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1267
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1138
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
265
9.80 IPS |
|
|
Text Classification (SP)
|
100% |
509
680.0 IPS |
|
|
Text Classification (HP)
|
100% |
512
684.0 IPS |
|
|
Text Classification (Q)
|
92% |
190
254.9 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.98 IPS |
|
|
Machine Translation (Q)
|
58% |
144
3.39 IPS |
