Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2330
Single Precision Score
1175
Half Precision Score
4766
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
99% |
4086
762.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2394
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2925
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
10884
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
86% |
3931
315.9 IPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
6480
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3971
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1564
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9247
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7078
9.10 IPS |
|
|
Style Transfer (HP)
|
100% |
5927
7.62 IPS |
|
|
Style Transfer (Q)
|
98% |
16159
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1250
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3271
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
635
847.5 IPS |
|
|
Text Classification (Q)
|
97% |
1512
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3022
60.7 IPS |
