Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
2208
Single Precision Score
672
Half Precision Score
3659
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:43 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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
99% |
2702
504.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
2336
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2224
2.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
11168
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
88% |
1557
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (Q)
|
97% |
3731
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4233
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
886
6.83 IPS |
|
|
Depth Estimation (Q)
|
76% |
6430
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7616
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
6146
7.90 IPS |
|
|
Style Transfer (Q)
|
98% |
15951
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3279
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
622
830.8 IPS |
|
|
Text Classification (Q)
|
97% |
1524
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2053
45.8 IPS |
