Samsung Galaxy S22 Ultra
Geekbench AI Score
292
Single Precision Score
11000
Half Precision Score
28709
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
8461
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
24468
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
6770
109.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19275
313.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
319
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
34701
40.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
221195
259.3 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
7866
623.9 IPS |
|
|
Object Detection (Q)
|
88% |
12106
969.8 IPS |
|
|
Face Detection (SP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (HP)
|
100% |
18487
219.7 IPS |
|
|
Face Detection (Q)
|
97% |
73353
874.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
25412
196.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
62709
577.3 IPS |
|
|
Style Transfer (SP)
|
100% |
617
0.79 IPS |
|
|
Style Transfer (HP)
|
98% |
40497
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
216790
279.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21642
799.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
56974
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
221
294.6 IPS |
|
|
Text Classification (HP)
|
100% |
1892
2.52 KIPS |
|
|
Text Classification (Q)
|
94% |
4400
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
374
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1205
41.7 IPS |
