Samsung Galaxy S23 Plus
Geekbench AI Score
907
Single Precision Score
826
Half Precision Score
1526
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | michaelyelavich |
| Upload Date | October 10 2024 04:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916W |
| 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% |
793
147.5 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
100% |
1463
272.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1417
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2128
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3664
4.35 IPS |
|
|
Object Detection (SP)
|
98% |
718
57.2 IPS |
|
|
Object Detection (HP)
|
98% |
376
29.9 IPS |
|
|
Object Detection (Q)
|
83% |
1101
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2613
31.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1609
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1622
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2349
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2459
3.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3545
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5928
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1194
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
362
482.6 IPS |
|
|
Text Classification (HP)
|
99% |
358
478.0 IPS |
|
|
Text Classification (Q)
|
88% |
542
731.6 IPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
