Samsung Galaxy S22 Ultra
Geekbench AI Score
258
Single Precision Score
257
Half Precision Score
683
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 03:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908U |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (Q)
|
100% |
476
88.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
513
8.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
645
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
1330
1.58 IPS |
|
|
Object Detection (SP)
|
98% |
84
6.72 IPS |
|
|
Object Detection (HP)
|
98% |
93
7.41 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (Q)
|
95% |
975
11.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
483
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1132
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1082
1.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1101
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2802
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
672
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.7 IPS |
|
|
Text Classification (HP)
|
99% |
126
168.5 IPS |
|
|
Text Classification (Q)
|
88% |
315
424.7 IPS |
|
|
Machine Translation (SP)
|
100% |
200
3.44 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (Q)
|
50% |
224
7.95 IPS |
