COLORFUL P16 Pro
Geekbench AI Score
5426
Single Precision Score
5200
Half Precision Score
11499
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | August 16 2025 01:20 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
3561
662.2 IPS |
|
|
Image Classification (HP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (Q)
|
100% |
8195
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4626
75.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4673
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7189
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7186
8.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
26694
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3437
272.6 IPS |
|
|
Object Detection (HP)
|
100% |
3348
265.5 IPS |
|
|
Object Detection (Q)
|
88% |
8114
650.4 IPS |
|
|
Face Detection (SP)
|
100% |
8813
104.7 IPS |
|
|
Face Detection (HP)
|
100% |
8917
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
19980
237.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8552
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8847
68.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
22313
173.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21066
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12735
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38944
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13362
494.8 IPS |
|
|
Text Classification (SP)
|
100% |
3334
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (Q)
|
92% |
4721
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4653
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4450
76.7 IPS |
