Intel(R) Client Systems NUC12SNKi72
Geekbench AI Score
2890
Single Precision Score
2915
Half Precision Score
1735
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 20 |
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% |
1142
212.3 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (Q)
|
100% |
924
171.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1354
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11836
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12489
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
6099
7.15 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.3 IPS |
|
|
Object Detection (HP)
|
98% |
1229
97.8 IPS |
|
|
Object Detection (Q)
|
89% |
1087
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
1678
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6437
49.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
3927
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25668
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32603
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16294
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3389
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4606
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1482
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
382
510.3 IPS |
|
|
Text Classification (Q)
|
97% |
484
648.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
387
8.63 IPS |
