Samsung Galaxy S22 Ultra
Geekbench AI Score
221
Single Precision Score
8082
Half Precision Score
22788
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:45 PM |
| 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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
8192
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
22447
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
6585
106.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17449
283.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
35156
41.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
221702
259.9 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (HP)
|
100% |
7524
596.8 IPS |
|
|
Object Detection (Q)
|
88% |
10734
859.9 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
17932
213.1 IPS |
|
|
Face Detection (Q)
|
97% |
65639
782.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
27599
213.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
60399
556.0 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
24% |
2092
63.3 IPS |
|
|
Style Transfer (Q)
|
98% |
145024
187.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21319
787.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55457
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
178
237.2 IPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
94% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
2118
36.5 IPS |
|
|
Machine Translation (Q)
|
37% |
321
32.4 IPS |
