Intel(R) Client Systems NUC10i7FNH
Geekbench AI Score
1279
Single Precision Score
587
Half Precision Score
1796
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | January 11 2025 01:51 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10710U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC10i7FNH |
| 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 | 1.61 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
995
185.0 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
96% |
1663
310.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1129
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1899
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
3372
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
58% |
1096
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (Q)
|
96% |
3005
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2365
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
765
5.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
3284
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4469
5.74 IPS |
|
|
Style Transfer (HP)
|
100% |
3161
4.06 IPS |
|
|
Style Transfer (Q)
|
87% |
6114
7.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1141
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.2 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.3 IPS |
|
|
Text Classification (Q)
|
97% |
637
853.7 IPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1150
22.2 IPS |
