Dynabook Inc. PORTEGE X40L-M
Geekbench AI Score
2973
Single Precision Score
9750
Half Precision Score
14698
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE X40L-M |
| Motherboard | Dynabook Inc. OK0123/0001 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (HP)
|
100% |
6927
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9633
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3096
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3879
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
34395
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73851
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
6133
486.5 IPS |
|
|
Object Detection (Q)
|
87% |
9963
799.6 IPS |
|
|
Face Detection (SP)
|
100% |
5663
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
16618
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
28350
336.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19334
149.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
35513
276.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10506
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52576
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96417
124.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14034
518.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23761
880.0 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1866
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4096
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3979
68.5 IPS |
