Samsung Galaxy S23 Ultra
Geekbench AI Score
401
Single Precision Score
16433
Half Precision Score
37242
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 08:31 AM |
| 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-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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
12903
2.40 KIPS |
|
|
Image Classification (Q)
|
97% |
32425
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
7776
126.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22002
357.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
70197
81.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
294387
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
12207
968.3 IPS |
|
|
Object Detection (Q)
|
86% |
13877
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
579
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
25030
297.4 IPS |
|
|
Face Detection (Q)
|
97% |
85303
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
45201
348.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
82171
769.4 IPS |
|
|
Style Transfer (SP)
|
100% |
836
1.07 IPS |
|
|
Style Transfer (HP)
|
98% |
59648
76.9 IPS |
|
|
Style Transfer (Q)
|
98% |
294628
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32668
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82249
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
316
422.3 IPS |
|
|
Text Classification (HP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (HP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1844
48.3 IPS |
