Dynabook Inc. Portable PC
Geekbench AI Score
2920
Single Precision Score
2878
Half Precision Score
7536
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 07:23 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Dynabook Inc. Portable PC |
| Motherboard | Dynabook Inc. "OK0123"/F000 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V 2.20GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (Q)
|
100% |
5004
930.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3287
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
11414
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (Q)
|
88% |
5127
411.0 IPS |
|
|
Face Detection (SP)
|
100% |
5485
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
12571
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4590
35.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
4540
35.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
13017
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9164
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9471
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35179
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7495
277.6 IPS |
|
|
Text Classification (SP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1911
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3538
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (Q)
|
85% |
3374
59.0 IPS |
