Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2841
Single Precision Score
2813
Half Precision Score
7529
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE Z40L-N |
| Motherboard | Dynabook Inc. OK0125/0000 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| 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% |
1932
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.7 IPS |
|
|
Image Classification (Q)
|
100% |
5039
937.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4171
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3129
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
11105
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
1792
142.2 IPS |
|
|
Object Detection (Q)
|
88% |
5025
402.8 IPS |
|
|
Face Detection (SP)
|
100% |
5174
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
12003
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4435
34.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
4622
35.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
13054
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8988
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8610
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34816
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7283
269.7 IPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3470
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (Q)
|
85% |
3622
63.4 IPS |
