Samsung Galaxy S22 Ultra
Geekbench AI Score
344
Single Precision Score
345
Half Precision Score
797
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 21 2024 01:25 PM |
| Views | 26 |
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-S908U1 |
| 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% |
140
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (Q)
|
100% |
493
91.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
566
9.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
769
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1638
1.94 IPS |
|
|
Object Detection (SP)
|
98% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
98% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
570
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
95% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
662
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1299
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1230
1.60 IPS |
|
|
Style Transfer (HP)
|
89% |
1231
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3606
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
824
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
179
239.4 IPS |
|
|
Text Classification (HP)
|
99% |
179
239.2 IPS |
|
|
Text Classification (Q)
|
88% |
347
467.7 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
50% |
259
9.20 IPS |
