Acer RB102
Geekbench AI Score
1262
Single Precision Score
1230
Half Precision Score
2728
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Urakaze39 |
| Upload Date | October 09 2025 08:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i3-1305U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer RB102 |
| Motherboard | Acer RB102-13U |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1305U |
| Topology | 1 Processor, 5 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 1 Core |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.8 IPS |
|
|
Image Classification (HP)
|
100% |
763
142.0 IPS |
|
|
Image Classification (Q)
|
100% |
1475
274.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1868
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1665
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1241
1.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
4229
4.95 IPS |
|
|
Object Detection (SP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
88% |
1596
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
1938
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (Q)
|
100% |
4256
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1503
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1417
10.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
4005
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4066
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4022
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
13127
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2435
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1631
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1385
23.9 IPS |
