Intel(R) Client Systems NUC12EDBi9
Geekbench AI Score
9561
Single Precision Score
13297
Half Precision Score
13547
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 04 2025 03:10 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations Insider Preview (64-bit) |
| Model | Intel(R) Client Systems NUC12EDBi9 |
| Motherboard | Intel Corporation NUC12EDBi9 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3729
693.4 IPS |
|
|
Image Classification (HP)
|
100% |
4812
894.8 IPS |
|
|
Image Classification (Q)
|
100% |
4806
893.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6300
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7149
115.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7192
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66970
78.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147172
171.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
193966
227.1 IPS |
|
|
Object Detection (SP)
|
100% |
3365
267.0 IPS |
|
|
Object Detection (HP)
|
100% |
5508
436.9 IPS |
|
|
Object Detection (Q)
|
88% |
5493
440.2 IPS |
|
|
Face Detection (SP)
|
100% |
10357
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
12625
150.0 IPS |
|
|
Face Detection (Q)
|
100% |
12679
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21804
168.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43894
338.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
45022
350.0 IPS |
|
|
Style Transfer (SP)
|
100% |
161700
207.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229308
294.8 IPS |
|
|
Style Transfer (Q)
|
98% |
266739
344.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15986
590.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21913
809.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22070
817.3 IPS |
|
|
Text Classification (SP)
|
100% |
1733
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
1164
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1446
24.9 IPS |
