COLORFUL P15 TA 24
Geekbench AI Score
623
Single Precision Score
642
Half Precision Score
401
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | asjfasjgl |
| Upload Date | October 08 2024 06:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | COLORFUL P15 TA 24 |
| Motherboard | COLORFUL P15 TA 24 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
99% |
283
52.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
394
6.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
2334
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
948
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
98% |
189
15.1 IPS |
|
|
Object Detection (Q)
|
89% |
295
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (Q)
|
97% |
280
3.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
821
6.33 IPS |
|
|
Depth Estimation (HP)
|
98% |
946
7.31 IPS |
|
|
Depth Estimation (Q)
|
76% |
601
4.83 IPS |
|
|
Style Transfer (SP)
|
100% |
2830
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3910
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2133
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
280
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.5 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.5 IPS |
|
|
Text Classification (Q)
|
97% |
141
189.1 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
246
5.49 IPS |
