Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
6408
Single Precision Score
10247
Half Precision Score
4218
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:08 AM |
| Views | 2 |
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% |
4148
771.4 IPS |
|
|
Image Classification (HP)
|
100% |
3593
668.2 IPS |
|
|
Image Classification (Q)
|
100% |
2384
443.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6315
102.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11225
182.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4643
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20645
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
78411
91.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16915
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3907
309.9 IPS |
|
|
Object Detection (HP)
|
100% |
5951
472.1 IPS |
|
|
Object Detection (Q)
|
89% |
3157
252.6 IPS |
|
|
Face Detection (SP)
|
100% |
7552
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
12432
147.7 IPS |
|
|
Face Detection (Q)
|
97% |
5120
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16767
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33883
261.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
11510
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48792
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120213
154.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37704
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8468
312.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10981
405.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
709
946.5 IPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
449
601.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
60% |
614
13.7 IPS |
