Samsung Galaxy S23 Ultra
Geekbench AI Score
431
Single Precision Score
12227
Half Precision Score
29365
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:41 PM |
| Views | 15 |
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 Ultra |
| Model ID | samsung SM-S918W |
| 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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
13265
2.47 KIPS |
|
|
Image Classification (Q)
|
99% |
32685
6.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
7853
127.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20447
332.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
70966
82.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
294392
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
12259
972.4 IPS |
|
|
Object Detection (Q)
|
90% |
14519
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
625
7.42 IPS |
|
|
Face Detection (HP)
|
100% |
25895
307.7 IPS |
|
|
Face Detection (Q)
|
97% |
88553
1.06 KIPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
43524
335.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
93982
771.2 IPS |
|
|
Style Transfer (SP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (HP)
|
24% |
2985
90.3 IPS |
|
|
Style Transfer (Q)
|
98% |
221299
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32721
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82641
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
366
489.1 IPS |
|
|
Text Classification (HP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (Q)
|
30% |
202
40.6 IPS |
