Samsung Galaxy S23 Ultra
Geekbench AI Score
277
Single Precision Score
273
Half Precision Score
624
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | clove |
| Upload Date | February 13 2025 08:48 PM |
| Views | 12 |
| Notes | Phone |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
99% |
415
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1088
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
87% |
448
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
941
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
374
2.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
880
7.98 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1591
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.5 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.3 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (Q)
|
57% |
323
7.91 IPS |
