Intel(R) Client Systems NUC12DCMi7
Geekbench AI Score
2545
Single Precision Score
3801
Half Precision Score
5988
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 02:38 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Intel(R) Client Systems NUC12DCMi7 |
| Motherboard | Intel Corporation NUC12EDBi7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1460
271.6 IPS |
|
|
Image Classification (HP)
|
100% |
2567
477.4 IPS |
|
|
Image Classification (Q)
|
99% |
3709
691.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3667
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5236
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4080
4.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
2969
3.46 IPS |
|
|
Pose Estimation (Q)
|
97% |
12279
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (HP)
|
98% |
2118
168.6 IPS |
|
|
Object Detection (Q)
|
90% |
4064
324.9 IPS |
|
|
Face Detection (SP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
7107
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
10572
125.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4663
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7822
60.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11033
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10427
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15420
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27957
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3093
114.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6288
232.9 IPS |
|
|
Text Classification (SP)
|
71% |
1130
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1751
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2294
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2313
39.8 IPS |
