Dynabook Inc. dynabook P2-T7WP-BL
Geekbench AI Score
1647
Single Precision Score
706
Half Precision Score
2428
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 08:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dynabook Inc. dynabook P2-T7WP-BL |
| Motherboard | Dynabook Inc. DBIIP311 |
| Power Plan | dynabook |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.5 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
99% |
2182
407.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1235
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2699
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
8690
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
86% |
2155
173.2 IPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
97% |
3820
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3526
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1023
7.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
6160
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6401
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4670
6.00 IPS |
|
|
Style Transfer (Q)
|
98% |
10429
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1820
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
721
961.8 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.3 IPS |
|
|
Text Classification (Q)
|
97% |
273
365.3 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
65% |
1160
23.3 IPS |
