Samsung Galaxy S23 Ultra
Geekbench AI Score
402
Single Precision Score
16519
Half Precision Score
37230
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
12957
2.41 KIPS |
|
|
Image Classification (Q)
|
97% |
32358
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
7858
127.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21880
355.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
449
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
71939
83.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
295204
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
12265
972.9 IPS |
|
|
Object Detection (Q)
|
86% |
13951
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
25258
300.1 IPS |
|
|
Face Detection (Q)
|
97% |
85407
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
45199
348.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
82483
772.3 IPS |
|
|
Style Transfer (SP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (HP)
|
98% |
60769
78.4 IPS |
|
|
Style Transfer (Q)
|
98% |
294497
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32739
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82341
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
332
443.3 IPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1819
47.7 IPS |
