Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2828
Single Precision Score
2813
Half Precision Score
7426
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:59 AM |
| Views | 3 |
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% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.7 IPS |
|
|
Image Classification (Q)
|
100% |
5046
938.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3147
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
11240
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (Q)
|
88% |
5007
401.4 IPS |
|
|
Face Detection (SP)
|
100% |
5053
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
5091
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
12383
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4428
34.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
4629
35.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
12945
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8735
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8825
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31432
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1913
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7192
266.3 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3469
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (Q)
|
85% |
3626
63.4 IPS |
