Samsung Galaxy S23 Ultra
Geekbench AI Score
921
Single Precision Score
1264
Half Precision Score
1269
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Leomotors |
| Upload Date | August 19 2024 07:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
1105
205.5 IPS |
|
|
Image Classification (Q)
|
99% |
950
177.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1083
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1422
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (Q)
|
89% |
790
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
3318
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1494
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2901
22.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
2693
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3854
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8687
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8610
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
364
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
439
586.5 IPS |
|
|
Text Classification (HP)
|
100% |
439
585.7 IPS |
|
|
Text Classification (Q)
|
91% |
664
892.6 IPS |
|
|
Machine Translation (SP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
494
12.1 IPS |
