Samsung Galaxy S23
Geekbench AI Score
389
Single Precision Score
12093
Half Precision Score
28244
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 12:41 PM |
| Views | 1 |
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-S911B |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
13198
2.45 KIPS |
|
|
Image Classification (Q)
|
97% |
32755
6.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
7859
127.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20398
331.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
73756
86.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
294256
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
12103
960.0 IPS |
|
|
Object Detection (Q)
|
86% |
13024
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (HP)
|
100% |
25353
301.2 IPS |
|
|
Face Detection (Q)
|
97% |
84909
1.01 KIPS |
|
|
Depth Estimation (SP)
|
100% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
43306
333.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
82014
768.0 IPS |
|
|
Style Transfer (SP)
|
100% |
823
1.06 IPS |
|
|
Style Transfer (HP)
|
24% |
2962
89.6 IPS |
|
|
Style Transfer (Q)
|
98% |
220766
284.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31687
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
79028
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
273
364.6 IPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5353
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (Q)
|
30% |
194
39.0 IPS |
