Samsung Galaxy S23
Geekbench AI Score
1605
Single Precision Score
1924
Half Precision Score
2624
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 04 2026 04:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1240
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
1283
238.5 IPS |
|
|
Image Classification (Q)
|
99% |
2439
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2460
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (HP)
|
92% |
4862
5.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
5683
6.66 IPS |
|
|
Object Detection (SP)
|
98% |
1287
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
931
74.2 IPS |
|
|
Object Detection (Q)
|
85% |
1820
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
4090
48.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2209
17.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3198
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4170
38.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6128
7.96 IPS |
|
|
Style Transfer (HP)
|
88% |
5401
7.01 IPS |
|
|
Style Transfer (Q)
|
98% |
9770
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1856
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2506
92.8 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.4 IPS |
|
|
Text Classification (HP)
|
100% |
680
907.8 IPS |
|
|
Text Classification (Q)
|
93% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
55% |
767
20.6 IPS |
