Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
7364
Single Precision Score
14076
Half Precision Score
5296
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:04 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% |
4261
792.4 IPS |
|
|
Image Classification (HP)
|
100% |
6090
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
3287
611.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6958
112.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13698
222.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4941
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21556
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103508
120.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18195
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
5041
399.9 IPS |
|
|
Object Detection (HP)
|
100% |
7264
576.1 IPS |
|
|
Object Detection (Q)
|
88% |
3948
316.6 IPS |
|
|
Face Detection (SP)
|
100% |
9808
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
18366
218.2 IPS |
|
|
Face Detection (Q)
|
97% |
7076
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18429
142.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36968
284.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13276
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
48941
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
171239
220.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35533
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8117
299.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16292
601.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5081
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
727
970.7 IPS |
|
|
Text Classification (HP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
726
972.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1210
22.7 IPS |
