Intel(R) Client Systems NUC10i7FNK
Geekbench AI Score
1272
Single Precision Score
1344
Half Precision Score
751
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 08:03 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% |
1073
199.5 IPS |
|
|
Image Classification (HP)
|
100% |
1061
197.2 IPS |
|
|
Image Classification (Q)
|
99% |
503
93.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
605
9.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1585
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1606
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
1034
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
85% |
541
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1138
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1049
9.84 IPS |
|
|
Style Transfer (SP)
|
100% |
2039
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2037
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3066
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
787
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
365
490.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
58% |
319
7.49 IPS |
