Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2223
Single Precision Score
683
Half Precision Score
3686
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:23 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
99% |
2644
493.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
2365
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2125
2.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
11041
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
88% |
1551
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
97% |
3742
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4094
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
910
7.01 IPS |
|
|
Depth Estimation (Q)
|
76% |
6386
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7529
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6545
8.41 IPS |
|
|
Style Transfer (Q)
|
98% |
15825
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3555
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.3 IPS |
|
|
Text Classification (Q)
|
97% |
1542
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2088
46.6 IPS |
