Intel(R) Client Systems NUC10i7FNK
Geekbench AI Score
1362
Single Precision Score
1364
Half Precision Score
767
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 07:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10710U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Intel(R) Client Systems NUC10i7FNK |
| Motherboard | Intel Corporation NUC10i7FNB |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10710U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 166 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1060
197.0 IPS |
|
|
Image Classification (HP)
|
100% |
1048
194.9 IPS |
|
|
Image Classification (Q)
|
99% |
501
93.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
601
9.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1640
1.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
1467
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (Q)
|
85% |
539
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
1159
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1617
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1037
9.72 IPS |
|
|
Style Transfer (SP)
|
100% |
2046
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2049
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3047
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
770
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
337
452.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
58% |
312
7.33 IPS |
