Samsung Galaxy S23 Ultra
Geekbench AI Score
367
Single Precision Score
350
Half Precision Score
739
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | ioscarhunter |
| Upload Date | August 16 2024 03:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
97% |
692
129.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (Q)
|
98% |
1292
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (Q)
|
89% |
493
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (HP)
|
100% |
482
5.73 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
431
3.32 IPS |
|
|
Depth Estimation (HP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (Q)
|
73% |
1029
8.42 IPS |
|
|
Style Transfer (SP)
|
100% |
718
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1661
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
749
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
271
362.2 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.0 IPS |
|
|
Text Classification (Q)
|
91% |
399
535.8 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
57% |
314
7.68 IPS |
