Dynabook Inc. PORTEGE Z40L-N
Geekbench AI Score
9710
Single Precision Score
23771
Half Precision Score
26327
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE Z40L-N |
| Motherboard | Dynabook Inc. OK0129/0000 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6112
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
12242
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
15073
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8416
136.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20696
335.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25147
407.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19461
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
120665
140.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
252817
296.0 IPS |
|
|
Object Detection (SP)
|
100% |
6395
507.3 IPS |
|
|
Object Detection (HP)
|
100% |
15537
1.23 KIPS |
|
|
Object Detection (Q)
|
88% |
15128
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
12224
145.2 IPS |
|
|
Face Detection (HP)
|
100% |
25763
306.1 IPS |
|
|
Face Detection (Q)
|
100% |
29229
347.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24451
188.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57286
441.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
62504
486.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49633
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
149461
192.1 IPS |
|
|
Style Transfer (Q)
|
98% |
156923
202.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8045
297.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24726
913.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27752
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4519
6.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2812
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4921
84.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4933
85.0 IPS |
