MAINBOARD CCB-IADP-ID01
Geekbench AI Score
1101
Single Precision Score
498
Half Precision Score
2126
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | March 06 2026 07:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MAINBOARD CCB-IADP-ID01 |
| Motherboard | MAINBOARD MB.IADP.ID01 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
768
142.9 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
99% |
1580
294.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
2146
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1582
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
5163
6.05 IPS |
|
|
Object Detection (SP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
86% |
1616
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
2266
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (Q)
|
97% |
2611
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2173
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
4181
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3955
5.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2862
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
7865
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1563
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.5 IPS |
|
|
Text Classification (HP)
|
100% |
250
334.2 IPS |
|
|
Text Classification (Q)
|
97% |
480
643.7 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (Q)
|
65% |
1040
20.9 IPS |
