Intel(R) Client Systems NUC11TNHv5
Geekbench AI Score
492
Single Precision Score
129
Half Precision Score
788
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:40 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
319
59.4 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.57 IPS |
|
|
Image Classification (Q)
|
97% |
624
116.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
53
0.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
587
0.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
2887
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.29 IPS |
|
|
Object Detection (Q)
|
88% |
296
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
1060
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
793
6.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
158
1.22 IPS |
|
|
Depth Estimation (Q)
|
77% |
1336
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2051
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1543
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
4637
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
738
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.9 IPS |
|
|
Text Classification (HP)
|
100% |
85
113.0 IPS |
|
|
Text Classification (Q)
|
97% |
243
324.9 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
67
1.15 IPS |
|
|
Machine Translation (Q)
|
60% |
237
5.29 IPS |
