Samsung Galaxy S22 Ultra
Geekbench AI Score
1794
Single Precision Score
1766
Half Precision Score
2641
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:17 AM |
| 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-S908N |
| 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% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
1488
276.8 IPS |
|
|
Image Classification (Q)
|
100% |
2106
391.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2318
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2519
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2421
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
5130
6.08 IPS |
|
|
Object Detection (SP)
|
98% |
1331
106.0 IPS |
|
|
Object Detection (HP)
|
98% |
1353
107.6 IPS |
|
|
Object Detection (Q)
|
83% |
1903
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (Q)
|
95% |
4081
48.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2702
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2673
20.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4300
39.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5884
7.64 IPS |
|
|
Style Transfer (HP)
|
89% |
5731
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
10705
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2741
101.6 IPS |
|
|
Text Classification (SP)
|
100% |
594
793.2 IPS |
|
|
Text Classification (HP)
|
99% |
591
789.0 IPS |
|
|
Text Classification (Q)
|
88% |
1088
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
620
22.0 IPS |
