Samsung Galaxy S23
Geekbench AI Score
390
Single Precision Score
16227
Half Precision Score
36823
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 03:14 AM |
| Views | 2 |
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 |
| Model ID | samsung SM-S911U |
| 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
13071
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
32309
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
7777
126.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21845
355.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69111
80.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
290860
340.4 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
12086
958.7 IPS |
|
|
Object Detection (Q)
|
86% |
13708
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
24736
293.9 IPS |
|
|
Face Detection (Q)
|
97% |
87257
1.04 KIPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
44613
343.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
81032
758.8 IPS |
|
|
Style Transfer (SP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (HP)
|
98% |
59310
76.5 IPS |
|
|
Style Transfer (Q)
|
98% |
292691
377.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32569
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81719
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
291
388.6 IPS |
|
|
Text Classification (HP)
|
100% |
2522
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1723
45.1 IPS |
