Samsung Galaxy S23
Geekbench AI Score
263
Single Precision Score
16131
Half Precision Score
36423
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 10:26 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% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12589
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
32297
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
7542
122.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21203
344.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72350
84.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
293486
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11884
942.6 IPS |
|
|
Object Detection (Q)
|
86% |
13480
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (HP)
|
100% |
23990
285.1 IPS |
|
|
Face Detection (Q)
|
97% |
83088
990.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
44703
344.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
81579
763.9 IPS |
|
|
Style Transfer (SP)
|
100% |
626
0.80 IPS |
|
|
Style Transfer (HP)
|
98% |
60836
78.4 IPS |
|
|
Style Transfer (Q)
|
98% |
293032
377.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32590
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81841
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
185
247.5 IPS |
|
|
Text Classification (HP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1663
43.6 IPS |
