Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
7264
Single Precision Score
12837
Half Precision Score
4993
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| 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% |
4271
794.3 IPS |
|
|
Image Classification (HP)
|
100% |
5834
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
3398
632.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6438
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12131
196.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4825
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22826
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
97305
113.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18987
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
4782
379.3 IPS |
|
|
Object Detection (HP)
|
100% |
7639
605.9 IPS |
|
|
Object Detection (Q)
|
89% |
3748
299.9 IPS |
|
|
Face Detection (SP)
|
100% |
7836
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
13770
163.6 IPS |
|
|
Face Detection (Q)
|
97% |
5781
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19953
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39425
303.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
12417
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56518
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
132175
169.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45780
59.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9967
368.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14710
543.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5252
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
681
911.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (Q)
|
60% |
703
15.7 IPS |
