Lenovo Chromebook Flex 5 - i3-1115G4 Google volteer
Geekbench AI Score
226
Single Precision Score
227
Half Precision Score
95
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 03 2025 09:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google volteer |
| Model ID | Google volteer |
| Motherboard | lillipup |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
55
10.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
65
1.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
142
0.17 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
58
4.64 IPS |
|
|
Face Detection (SP)
|
100% |
330
3.93 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
97% |
113
1.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
307
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
137
1.24 IPS |
|
|
Style Transfer (SP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
373
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
79
2.93 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.2 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.9 IPS |
|
|
Text Classification (Q)
|
91% |
63
84.2 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.80 IPS |
