COLORFUL P16 Pro IXA1
Geekbench AI Score
4716
Single Precision Score
1437
Half Precision Score
7875
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MutnuyHavy |
| Upload Date | September 20 2025 05:07 PM |
| Views | 4 |
| Notes | 25h2 dev |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3701
688.2 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
5841
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10983
178.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9832
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4240
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
29311
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3616
286.8 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
86% |
6366
511.7 IPS |
|
|
Face Detection (SP)
|
100% |
11299
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
9769
116.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10521
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1837
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15906
126.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21203
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10376
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25000
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3263
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1886
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4911
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.6 IPS |
|
|
Text Classification (Q)
|
97% |
1335
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3009
60.5 IPS |
