Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
7023
Single Precision Score
13291
Half Precision Score
5020
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
3008
559.5 IPS |
|
|
Image Classification (HP)
|
100% |
3491
649.3 IPS |
|
|
Image Classification (Q)
|
100% |
2464
458.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6880
111.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13682
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4882
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20764
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87519
102.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17122
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
4563
362.0 IPS |
|
|
Object Detection (HP)
|
100% |
8991
713.2 IPS |
|
|
Object Detection (Q)
|
88% |
3933
315.4 IPS |
|
|
Face Detection (SP)
|
100% |
9625
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
17796
211.5 IPS |
|
|
Face Detection (Q)
|
97% |
6111
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18702
144.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37105
285.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12688
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
48359
62.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164318
211.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34734
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8001
295.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14789
546.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5366
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
737
987.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2659
45.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1180
22.1 IPS |
