Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2418
Single Precision Score
1743
Half Precision Score
6376
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1877
349.0 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (Q)
|
100% |
5323
989.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4532
73.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1660
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
9522
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (HP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (Q)
|
88% |
3979
319.0 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (Q)
|
100% |
10241
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3297
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2448
18.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8982
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7235
9.30 IPS |
|
|
Style Transfer (HP)
|
100% |
5040
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
23945
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5063
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1330
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4107
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2656
45.7 IPS |
