Dynabook Inc. dynabook RCX74/XLE
Geekbench AI Score
2483
Single Precision Score
2477
Half Precision Score
5797
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 03:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (Q)
|
100% |
4102
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3839
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2663
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2662
3.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
9923
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (Q)
|
88% |
3484
279.3 IPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
8380
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3910
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3864
29.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9373
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9420
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10322
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33817
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6060
224.4 IPS |
|
|
Text Classification (SP)
|
100% |
1665
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
2892
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1692
29.2 IPS |
