Acer RB102
Geekbench AI Score
1269
Single Precision Score
616
Half Precision Score
2769
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Urakaze39 |
| Upload Date | October 09 2025 07:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1027
191.0 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (Q)
|
99% |
2120
395.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
2597
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1299
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
4636
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.5 IPS |
|
|
Object Detection (Q)
|
86% |
2073
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
2066
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (Q)
|
97% |
3915
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2500
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
802
6.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
4738
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3821
4.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2623
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
7073
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2180
80.7 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
419
559.4 IPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1470
29.5 IPS |
