Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
10318
Single Precision Score
25298
Half Precision Score
28328
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 03:02 AM |
| Views | 8 |
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% |
7235
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13924
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
16603
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8783
142.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19401
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22443
363.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22177
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
135648
158.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
249573
292.2 IPS |
|
|
Object Detection (SP)
|
100% |
6386
506.6 IPS |
|
|
Object Detection (HP)
|
100% |
14102
1.12 KIPS |
|
|
Object Detection (Q)
|
88% |
14326
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
14129
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
30136
358.1 IPS |
|
|
Face Detection (Q)
|
100% |
38881
462.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24416
188.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58744
452.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
63606
503.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51732
66.5 IPS |
|
|
Style Transfer (HP)
|
100% |
157610
202.6 IPS |
|
|
Style Transfer (Q)
|
98% |
187612
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9585
353.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27495
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27945
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
92% |
4620
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5113
88.1 IPS |
|
|
Machine Translation (Q)
|
82% |
4170
73.3 IPS |
