Samsung Galaxy S23 Ultra
Geekbench AI Score
452
Single Precision Score
448
Half Precision Score
963
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cracher56 |
| Upload Date | December 29 2024 02:19 PM |
| Views | 6 |
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 Ultra |
| Model ID | samsung SM-S918B |
| 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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
497
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
2015
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (Q)
|
87% |
797
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
1532
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
597
4.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1426
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
946
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
854
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1947
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
916
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
350
467.7 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.3 IPS |
|
|
Text Classification (Q)
|
91% |
508
683.2 IPS |
|
|
Machine Translation (SP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (Q)
|
57% |
395
9.65 IPS |
