COLORFUL P16 Pro
Geekbench AI Score
18263
Single Precision Score
35210
Half Precision Score
13801
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | August 16 2025 01:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| 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% |
7926
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
15182
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
6392
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13979
226.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21997
356.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13517
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
94336
110.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
287033
334.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
78422
91.9 IPS |
|
|
Object Detection (SP)
|
100% |
9485
752.4 IPS |
|
|
Object Detection (HP)
|
100% |
18268
1.45 KIPS |
|
|
Object Detection (Q)
|
83% |
7637
617.1 IPS |
|
|
Face Detection (SP)
|
100% |
21471
255.1 IPS |
|
|
Face Detection (HP)
|
100% |
40867
485.6 IPS |
|
|
Face Detection (Q)
|
97% |
19687
234.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40671
313.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75799
584.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
33269
265.5 IPS |
|
|
Style Transfer (SP)
|
100% |
134014
172.3 IPS |
|
|
Style Transfer (HP)
|
100% |
483906
622.1 IPS |
|
|
Style Transfer (Q)
|
98% |
119706
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27444
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55918
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18348
679.4 IPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4081
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2115
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1593
29.9 IPS |
