Samsung Galaxy S22 Ultra
Geekbench AI Score
281
Single Precision Score
280
Half Precision Score
675
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 08:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908E |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
99% |
556
103.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
598
9.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
315
0.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
1202
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
87% |
450
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (Q)
|
97% |
1008
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
344
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
352
2.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
853
7.74 IPS |
|
|
Style Transfer (SP)
|
100% |
616
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1573
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
165
6.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
220
294.0 IPS |
|
|
Text Classification (HP)
|
100% |
219
292.1 IPS |
|
|
Text Classification (Q)
|
91% |
397
533.9 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.13 IPS |
