Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2215
Single Precision Score
673
Half Precision Score
3718
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:50 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
99% |
2787
519.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
2359
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2902
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2224
2.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
11152
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
88% |
1547
124.0 IPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
97% |
3587
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4017
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
874
6.73 IPS |
|
|
Depth Estimation (Q)
|
76% |
6335
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7594
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6344
8.16 IPS |
|
|
Style Transfer (Q)
|
98% |
15908
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3587
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
612
816.4 IPS |
|
|
Text Classification (Q)
|
97% |
1611
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2135
47.6 IPS |
