Intel(R) Client Systems NUC13ANKi7
Geekbench AI Score
3157
Single Precision Score
3254
Half Precision Score
1995
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows AVX2
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC13ANKi7 |
| Motherboard | Intel Corporation NUC13ANBi7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (Q)
|
100% |
1155
214.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12677
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13374
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
6532
7.65 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
98% |
1382
110.0 IPS |
|
|
Object Detection (Q)
|
86% |
1267
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (Q)
|
97% |
2146
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6357
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7060
54.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4448
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27662
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34805
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17043
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1599
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
495
661.1 IPS |
|
|
Text Classification (Q)
|
97% |
527
705.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
70% |
504
9.45 IPS |
