Dynabook Inc. dynabook RCX74/XLE
Geekbench AI Score
2600
Single Precision Score
8901
Half Precision Score
13864
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 03:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dynabook Inc. dynabook RCX74/XLE |
| Motherboard | Dynabook Inc. OK0123/0000 |
| Power Plan | dynabook |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
6207
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8799
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3438
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
29694
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64100
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
5428
430.6 IPS |
|
|
Object Detection (Q)
|
88% |
9252
741.7 IPS |
|
|
Face Detection (SP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
15193
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
29610
351.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4188
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17124
131.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
31062
241.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10311
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
47705
61.3 IPS |
|
|
Style Transfer (Q)
|
98% |
84965
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2135
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14086
520.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27369
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1865
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4134
71.2 IPS |
