Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2043
Single Precision Score
1427
Half Precision Score
5585
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:29 AM |
| Views | 4 |
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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
100% |
4644
863.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
8970
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (Q)
|
88% |
3718
298.1 IPS |
|
|
Face Detection (SP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (Q)
|
100% |
6800
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2253
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1674
12.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7179
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5529
7.11 IPS |
|
|
Style Transfer (HP)
|
100% |
4138
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
21103
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4836
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3648
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2661
45.8 IPS |
