Intel(R) Client Systems NUC12WSHi7
Geekbench AI Score
1743
Single Precision Score
1691
Half Precision Score
1164
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | August 16 2024 01:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | Intel(R) Client Systems NUC12WSHi7 |
| Motherboard | Intel Corporation NUC12WSBi7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (Q)
|
99% |
757
141.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2232
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
1365
108.2 IPS |
|
|
Object Detection (Q)
|
86% |
826
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1993
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2051
15.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
2043
15.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
1846
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2484
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
4508
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
395
530.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (Q)
|
58% |
509
11.9 IPS |
