Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2243
Single Precision Score
679
Half Precision Score
3714
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| 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% |
1424
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
99% |
2676
499.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
2361
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3092
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
11513
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
88% |
1614
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (Q)
|
97% |
3714
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3991
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
828
6.38 IPS |
|
|
Depth Estimation (Q)
|
76% |
6718
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7948
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6070
7.80 IPS |
|
|
Style Transfer (Q)
|
98% |
15478
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3407
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.1 IPS |
|
|
Text Classification (Q)
|
97% |
1531
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2116
47.2 IPS |
