Samsung Galaxy S23 Ultra
Geekbench AI Score
812
Single Precision Score
1147
Half Precision Score
1138
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | umosmani |
| Upload Date | August 15 2024 09:35 PM |
| Views | 11 |
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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.8 IPS |
|
|
Image Classification (Q)
|
99% |
978
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1428
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.7 IPS |
|
|
Object Detection (Q)
|
89% |
781
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
2210
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
2646
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1496
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2883
22.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
2698
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3853
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8665
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8656
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.5 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.3 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.6 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
57% |
325
7.94 IPS |
