Dynabook Inc. Portable PC
Geekbench AI Score
1283
Single Precision Score
2263
Half Precision Score
909
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 05:15 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8 GB) |
| 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% |
742
138.0 IPS |
|
|
Image Classification (HP)
|
100% |
1018
189.4 IPS |
|
|
Image Classification (Q)
|
100% |
610
113.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
867
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15582
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2984
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.7 IPS |
|
|
Object Detection (HP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (Q)
|
89% |
642
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
1443
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
1016
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7115
54.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
2124
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8957
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21979
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7493
9.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1024
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.7 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.3 IPS |
|
|
Text Classification (Q)
|
97% |
155
207.4 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
60% |
149
3.32 IPS |
