Dynabook Inc. SATELLITE PRO C50-J
Geekbench AI Score
1511
Single Precision Score
804
Half Precision Score
2874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | amabbas |
| Upload Date | October 22 2025 12:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. SATELLITE PRO C50-J |
| Motherboard | Dynabook Inc. DBIIP305 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
349
65.0 IPS |
|
|
Image Classification (Q)
|
99% |
3189
594.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
2086
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1807
2.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
7432
8.71 IPS |
|
|
Object Detection (SP)
|
100% |
942
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
86% |
2266
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (Q)
|
97% |
4427
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3023
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
5781
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4496
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3584
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
6866
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3562
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
693
924.6 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
65% |
1313
26.4 IPS |
