Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
7133
Single Precision Score
12166
Half Precision Score
4933
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 01:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE Z40L-N |
| Motherboard | Dynabook Inc. OK0125/0000 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3550
660.2 IPS |
|
|
Image Classification (HP)
|
100% |
4917
914.5 IPS |
|
|
Image Classification (Q)
|
100% |
3221
599.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5998
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10430
169.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4709
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22724
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
96035
112.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18417
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
7152
567.3 IPS |
|
|
Object Detection (Q)
|
89% |
3596
287.7 IPS |
|
|
Face Detection (SP)
|
100% |
7267
86.4 IPS |
|
|
Face Detection (HP)
|
100% |
12972
154.1 IPS |
|
|
Face Detection (Q)
|
97% |
5601
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18659
143.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35195
271.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
12123
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55813
71.7 IPS |
|
|
Style Transfer (HP)
|
100% |
123303
158.5 IPS |
|
|
Style Transfer (Q)
|
98% |
45521
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9855
363.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14331
529.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5401
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (Q)
|
97% |
713
954.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
60% |
714
15.9 IPS |
