COLORFUL P16 Pro IXA1
Geekbench AI Score
4177
Single Precision Score
4198
Half Precision Score
11478
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MutnuyHavy |
| Upload Date | July 29 2025 06:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | COLORFUL P16 Pro IXA1 |
| Motherboard | COLORFUL P16 Pro IXA1 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2848
529.7 IPS |
|
|
Image Classification (HP)
|
100% |
3022
562.0 IPS |
|
|
Image Classification (Q)
|
100% |
8705
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4981
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7391
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
7568
8.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
27393
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (Q)
|
88% |
8827
707.6 IPS |
|
|
Face Detection (SP)
|
100% |
7928
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
8756
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
20980
249.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5606
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5857
45.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22889
178.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20503
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20816
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
76752
99.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14065
520.9 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
4766
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1533
26.4 IPS |
