Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2413
Single Precision Score
1770
Half Precision Score
6383
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:22 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% |
1860
345.9 IPS |
|
|
Image Classification (HP)
|
100% |
1405
261.2 IPS |
|
|
Image Classification (Q)
|
100% |
5297
985.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4434
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2497
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
9860
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (Q)
|
88% |
3912
313.6 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
8959
106.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3054
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2248
17.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9845
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6651
8.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5252
6.75 IPS |
|
|
Style Transfer (Q)
|
98% |
23517
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5280
195.5 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
4228
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2644
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2679
46.2 IPS |
