Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2867
Single Precision Score
2824
Half Precision Score
7470
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (Q)
|
100% |
5012
932.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4110
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
11058
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (Q)
|
88% |
4984
399.5 IPS |
|
|
Face Detection (SP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
5242
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
12119
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4433
34.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
4539
35.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
13042
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8812
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8960
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32985
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7268
269.2 IPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3465
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (Q)
|
85% |
3632
63.5 IPS |
