Samsung Galaxy S23
Geekbench AI Score
374
Single Precision Score
366
Half Precision Score
773
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 03:01 AM |
| Views | 1 |
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 |
| 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% |
290
53.9 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
99% |
707
132.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
722
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1417
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
531
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.04 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
97% |
1019
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
451
3.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
978
8.88 IPS |
|
|
Style Transfer (SP)
|
100% |
749
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1704
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
807
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.5 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.4 IPS |
|
|
Text Classification (Q)
|
91% |
429
577.2 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
57% |
339
8.29 IPS |
