Intel(R) Client Systems NUC12SNKi72
Geekbench AI Score
2846
Single Precision Score
2898
Half Precision Score
1737
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 19 |
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 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% |
1125
209.2 IPS |
|
|
Image Classification (HP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (Q)
|
100% |
918
170.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1381
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11865
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12503
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
6090
7.14 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
98% |
1225
97.5 IPS |
|
|
Object Detection (Q)
|
89% |
1096
87.7 IPS |
|
|
Face Detection (SP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
1671
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6423
49.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
3915
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25438
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32560
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16268
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3343
123.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1477
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
379
506.3 IPS |
|
|
Text Classification (Q)
|
97% |
486
650.6 IPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (Q)
|
60% |
387
8.64 IPS |
