Intel(R) Client Systems NUC12SNKi72
Geekbench AI Score
12790
Single Precision Score
22181
Half Precision Score
22442
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770M Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC12SNKi72 |
| Motherboard | Intel Corporation NUC12SNKi72 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5411
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
8504
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
8465
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13812
223.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19381
314.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19893
322.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
63526
74.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
198085
231.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
294382
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
4978
394.8 IPS |
|
|
Object Detection (HP)
|
100% |
11306
896.8 IPS |
|
|
Object Detection (Q)
|
88% |
10361
830.3 IPS |
|
|
Face Detection (SP)
|
100% |
23160
275.2 IPS |
|
|
Face Detection (HP)
|
100% |
33210
394.6 IPS |
|
|
Face Detection (Q)
|
100% |
33868
402.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23149
178.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
54318
418.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
54109
420.6 IPS |
|
|
Style Transfer (SP)
|
100% |
174659
224.5 IPS |
|
|
Style Transfer (HP)
|
100% |
316150
406.4 IPS |
|
|
Style Transfer (Q)
|
98% |
399379
515.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16648
614.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29937
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31149
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
1022
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2708
46.7 IPS |
