COLORFUL P16 Pro
Geekbench AI Score
4008
Single Precision Score
1475
Half Precision Score
7143
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | August 16 2025 01:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | COLORFUL P16 Pro |
| Motherboard | COLORFUL P16 Pro |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3479
647.0 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
99% |
5366
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9048
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7075
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4012
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
24050
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2977
236.2 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
86% |
5960
479.0 IPS |
|
|
Face Detection (SP)
|
100% |
7941
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8867
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2001
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14382
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9783
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19347
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1310
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3061
61.5 IPS |
