Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
6834
Single Precision Score
11857
Half Precision Score
4833
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 01:40 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% |
3406
633.4 IPS |
|
|
Image Classification (HP)
|
100% |
4756
884.5 IPS |
|
|
Image Classification (Q)
|
100% |
3303
614.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6052
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11051
179.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4712
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22295
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
95903
111.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19117
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
4679
371.2 IPS |
|
|
Object Detection (HP)
|
100% |
7352
583.1 IPS |
|
|
Object Detection (Q)
|
89% |
3684
294.8 IPS |
|
|
Face Detection (SP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
11501
136.7 IPS |
|
|
Face Detection (Q)
|
97% |
5168
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17038
131.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33301
256.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
10551
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49168
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120235
154.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37962
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8695
321.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13289
490.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5335
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
60% |
735
16.4 IPS |
