Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
7270
Single Precision Score
13627
Half Precision Score
4931
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE Z40L-N |
| Motherboard | Dynabook Inc. OK0129/0000 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3177
590.9 IPS |
|
|
Image Classification (HP)
|
100% |
4119
766.1 IPS |
|
|
Image Classification (Q)
|
100% |
2749
511.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6905
111.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13764
223.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4931
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21052
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89065
103.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17045
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
4486
355.9 IPS |
|
|
Object Detection (HP)
|
100% |
6567
520.9 IPS |
|
|
Object Detection (Q)
|
88% |
3850
308.8 IPS |
|
|
Face Detection (SP)
|
100% |
9782
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
17803
211.5 IPS |
|
|
Face Detection (Q)
|
97% |
6060
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18718
144.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
38401
295.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13387
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
48193
62.0 IPS |
|
|
Style Transfer (HP)
|
100% |
169097
217.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35320
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8893
328.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15519
573.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5162
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
557
746.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2569
44.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1160
21.8 IPS |
