vivo I2221
Geekbench AI Score
1565
Single Precision Score
1275
Half Precision Score
1892
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 03:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2221 |
| Model ID | vivo I2221 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1472
273.8 IPS |
|
|
Image Classification (HP)
|
100% |
1258
233.9 IPS |
|
|
Image Classification (Q)
|
100% |
1402
260.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2492
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3115
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3036
3.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
6596
7.82 IPS |
|
|
Object Detection (SP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (HP)
|
98% |
1369
108.9 IPS |
|
|
Object Detection (Q)
|
83% |
1007
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
5263
62.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2939
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
1910
17.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6138
7.97 IPS |
|
|
Style Transfer (HP)
|
89% |
7649
9.93 IPS |
|
|
Style Transfer (Q)
|
98% |
9312
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1553
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.5 IPS |
|
|
Text Classification (HP)
|
99% |
297
396.7 IPS |
|
|
Text Classification (Q)
|
88% |
467
630.2 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
