Samsung Galaxy S23 Ultra
Geekbench AI Score
862
Single Precision Score
1209
Half Precision Score
1164
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 05:50 PM |
| 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% |
671
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (Q)
|
96% |
870
162.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1625
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1413
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1422
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
801
63.5 IPS |
|
|
Object Detection (Q)
|
87% |
845
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (Q)
|
97% |
3020
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1507
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2881
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2378
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3846
4.94 IPS |
|
|
Style Transfer (HP)
|
100% |
8783
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8372
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.3 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.8 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.6 IPS |
|
|
Machine Translation (SP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (Q)
|
57% |
324
7.92 IPS |
