Acer RB102
Geekbench AI Score
1671
Single Precision Score
658
Half Precision Score
3159
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer RB102 |
| Motherboard | Acer RB102-14U |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
99% |
2203
410.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
2020
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1405
1.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
9905
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
86% |
3107
249.7 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (Q)
|
97% |
4963
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3878
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
8185
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6066
7.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3117
4.01 IPS |
|
|
Style Transfer (Q)
|
98% |
9311
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1104
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1531
56.7 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
366
487.9 IPS |
|
|
Text Classification (Q)
|
97% |
895
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
65% |
1396
28.1 IPS |
