Intel(R) Client Systems NUC12EDBi9
Geekbench AI Score
9564
Single Precision Score
13425
Half Precision Score
13679
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 04 2025 03:02 PM |
| Views | 2 |
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% |
3719
691.6 IPS |
|
|
Image Classification (HP)
|
100% |
5007
931.1 IPS |
|
|
Image Classification (Q)
|
100% |
5034
936.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6352
103.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7207
116.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7276
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
67342
78.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
148522
173.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
195190
228.5 IPS |
|
|
Object Detection (SP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (HP)
|
100% |
5641
447.4 IPS |
|
|
Object Detection (Q)
|
88% |
5711
457.6 IPS |
|
|
Face Detection (SP)
|
100% |
10316
122.6 IPS |
|
|
Face Detection (HP)
|
100% |
12614
149.9 IPS |
|
|
Face Detection (Q)
|
100% |
12848
152.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21823
168.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44167
340.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
45012
349.9 IPS |
|
|
Style Transfer (SP)
|
100% |
160042
205.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230612
296.5 IPS |
|
|
Style Transfer (Q)
|
98% |
270442
348.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16469
608.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22504
831.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22123
819.3 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1457
25.1 IPS |
