Acer RB102
Geekbench AI Score
2020
Single Precision Score
6534
Half Precision Score
10013
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 12:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.5 IPS |
|
|
Image Classification (Q)
|
100% |
6448
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2756
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2295
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
28411
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
60365
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
100% |
3980
315.7 IPS |
|
|
Object Detection (Q)
|
87% |
6621
531.4 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
8988
106.8 IPS |
|
|
Face Detection (Q)
|
100% |
17389
206.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3364
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11057
85.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
20643
160.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8152
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33087
42.5 IPS |
|
|
Style Transfer (Q)
|
98% |
62305
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10370
382.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16668
617.3 IPS |
|
|
Text Classification (SP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
1632
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2337
40.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2345
40.4 IPS |
