Dynabook Inc. dynabook RCX74/XLE
Geekbench AI Score
7955
Single Precision Score
12634
Half Precision Score
18848
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 03:45 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 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% |
5661
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8607
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
8472
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4560
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11936
193.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17484
283.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23214
27.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
21380
25.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
76539
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
5181
410.9 IPS |
|
|
Object Detection (HP)
|
100% |
8526
676.3 IPS |
|
|
Object Detection (Q)
|
88% |
12234
980.4 IPS |
|
|
Face Detection (SP)
|
100% |
9244
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
18851
224.0 IPS |
|
|
Face Detection (Q)
|
100% |
31407
373.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18863
145.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
31392
242.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
36948
287.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53749
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
68199
87.7 IPS |
|
|
Style Transfer (Q)
|
98% |
175087
225.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8556
315.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14948
551.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22325
826.8 IPS |
|
|
Text Classification (SP)
|
71% |
1606
2.32 KIPS |
|
|
Text Classification (HP)
|
71% |
2522
3.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2405
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3639
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3741
64.7 IPS |
