Samsung Galaxy S22
Geekbench AI Score
943
Single Precision Score
1494
Half Precision Score
1377
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 12:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S9010 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
99% |
1229
229.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2628
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2169
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6166
7.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
11509
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11106
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.7 IPS |
|
|
Object Detection (HP)
|
99% |
776
61.6 IPS |
|
|
Object Detection (Q)
|
85% |
957
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
3672
43.6 IPS |
|
|
Face Detection (Q)
|
97% |
2844
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2202
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3257
25.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
3203
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4689
6.03 IPS |
|
|
Style Transfer (HP)
|
100% |
10511
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9766
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1314
48.7 IPS |
|
|
Text Classification (SP)
|
35% |
21
205.3 IPS |
|
|
Text Classification (HP)
|
35% |
29
266.1 IPS |
|
|
Text Classification (Q)
|
35% |
29
267.3 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
97% |
362
6.25 IPS |
|
|
Machine Translation (Q)
|
64% |
257
5.29 IPS |
