Samsung Galaxy S23 Ultra
Geekbench AI Score
672
Single Precision Score
642
Half Precision Score
1230
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
834
155.1 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.6 IPS |
|
|
Image Classification (Q)
|
100% |
1291
240.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1362
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1229
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
2292
2.72 IPS |
|
|
Object Detection (SP)
|
98% |
285
22.7 IPS |
|
|
Object Detection (HP)
|
98% |
410
32.6 IPS |
|
|
Object Detection (Q)
|
83% |
878
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.57 IPS |
|
|
Face Detection (Q)
|
95% |
1570
18.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
880
6.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1672
15.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2683
3.48 IPS |
|
|
Style Transfer (HP)
|
89% |
2206
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4476
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1191
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
253
338.0 IPS |
|
|
Text Classification (HP)
|
99% |
234
312.9 IPS |
|
|
Text Classification (Q)
|
88% |
468
630.9 IPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
