COLORFUL P16 Pro IXA1
Geekbench AI Score
23969
Single Precision Score
42209
Half Precision Score
18495
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MutnuyHavy |
| Upload Date | September 20 2025 05:11 PM |
| Views | 7 |
| Notes | 25h2 dev |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| 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% |
9698
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
17839
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
8831
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17491
283.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24746
401.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15759
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
118886
138.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
423082
493.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
117369
137.5 IPS |
|
|
Object Detection (SP)
|
100% |
11126
882.5 IPS |
|
|
Object Detection (HP)
|
100% |
15544
1.23 KIPS |
|
|
Object Detection (Q)
|
83% |
9300
751.4 IPS |
|
|
Face Detection (SP)
|
100% |
33304
395.7 IPS |
|
|
Face Detection (HP)
|
100% |
46990
558.3 IPS |
|
|
Face Detection (Q)
|
97% |
29483
351.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
59003
454.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
119614
921.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
46929
374.6 IPS |
|
|
Style Transfer (SP)
|
100% |
196972
253.2 IPS |
|
|
Style Transfer (HP)
|
100% |
664922
854.8 IPS |
|
|
Style Transfer (Q)
|
98% |
168606
217.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33702
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65961
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27347
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3827
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4646
6.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2348
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5590
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5399
93.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2059
38.6 IPS |
