Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
10301
Single Precision Score
24997
Half Precision Score
28399
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 03:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| 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% |
7221
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
12398
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
16651
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8812
142.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19685
319.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22447
363.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22068
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
135254
157.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
250398
293.2 IPS |
|
|
Object Detection (SP)
|
100% |
6389
506.8 IPS |
|
|
Object Detection (HP)
|
100% |
14142
1.12 KIPS |
|
|
Object Detection (Q)
|
88% |
14248
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
14081
167.3 IPS |
|
|
Face Detection (HP)
|
100% |
30225
359.1 IPS |
|
|
Face Detection (Q)
|
100% |
38662
459.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23579
181.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58456
450.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
63236
500.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51093
65.7 IPS |
|
|
Style Transfer (HP)
|
100% |
157709
202.7 IPS |
|
|
Style Transfer (Q)
|
98% |
182727
235.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9708
358.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27975
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29271
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
4592
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5240
90.3 IPS |
|
|
Machine Translation (Q)
|
82% |
4262
74.9 IPS |
