Samsung Galaxy S23 Ultra
Geekbench AI Score
799
Single Precision Score
1011
Half Precision Score
1043
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 10:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.9 IPS |
|
|
Image Classification (Q)
|
96% |
808
150.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1052
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
966
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1435
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1430
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
87% |
826
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
1687
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1504
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2860
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2348
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3852
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8684
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8615
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
366
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.6 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.96 IPS |
