Samsung Galaxy S23 Ultra
Geekbench AI Score
439
Single Precision Score
17259
Half Precision Score
42460
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
13373
2.49 KIPS |
|
|
Image Classification (Q)
|
96% |
31680
5.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
7889
127.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
28136
457.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
70826
82.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
294161
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
12560
996.3 IPS |
|
|
Object Detection (Q)
|
86% |
18475
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
629
7.48 IPS |
|
|
Face Detection (HP)
|
100% |
24867
295.5 IPS |
|
|
Face Detection (Q)
|
97% |
85654
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
45019
346.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
104565
984.9 IPS |
|
|
Style Transfer (SP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
56222
72.3 IPS |
|
|
Style Transfer (Q)
|
98% |
287348
370.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32972
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82940
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
386
515.2 IPS |
|
|
Text Classification (HP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (Q)
|
93% |
8183
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (Q)
|
55% |
2251
59.0 IPS |
