Dynabook Inc. dynabook X94/NY
Geekbench AI Score
1820
Single Precision Score
856
Half Precision Score
3550
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 19 2025 01:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 236V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. dynabook X94/NY |
| Motherboard | Dynabook Inc. OK0129/0000 |
| Power Plan | dynabook |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1506
280.1 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
2019
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
4546
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
10098
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (Q)
|
86% |
2195
176.4 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
4509
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3425
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6205
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6917
8.89 IPS |
|
|
Style Transfer (HP)
|
100% |
5063
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
11268
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2662
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
367
490.2 IPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
1691
34.0 IPS |
