Samsung Galaxy S22 Ultra
Geekbench AI Score
1673
Single Precision Score
1626
Half Precision Score
2523
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1483
275.8 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (Q)
|
100% |
2000
371.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2293
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2378
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2290
2.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
4939
5.86 IPS |
|
|
Object Detection (SP)
|
98% |
1253
99.7 IPS |
|
|
Object Detection (HP)
|
98% |
1235
98.2 IPS |
|
|
Object Detection (Q)
|
87% |
1852
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2260
26.9 IPS |
|
|
Face Detection (Q)
|
95% |
3764
44.9 IPS |
|
|
Depth Estimation (SP)
|
98% |
2510
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2462
19.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
4448
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5437
7.06 IPS |
|
|
Style Transfer (HP)
|
89% |
5222
6.78 IPS |
|
|
Style Transfer (Q)
|
98% |
10651
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2536
94.0 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.4 IPS |
|
|
Text Classification (HP)
|
99% |
538
718.0 IPS |
|
|
Text Classification (Q)
|
88% |
976
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
50% |
566
20.1 IPS |
