Samsung Galaxy S23 Ultra
Geekbench AI Score
278
Single Precision Score
16235
Half Precision Score
36579
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 09:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12633
2.35 KIPS |
|
|
Image Classification (Q)
|
97% |
32300
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
7572
122.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21106
343.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72286
84.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
293498
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11958
948.6 IPS |
|
|
Object Detection (Q)
|
86% |
13467
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
23871
283.6 IPS |
|
|
Face Detection (Q)
|
97% |
82595
985.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
44812
345.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
81088
759.3 IPS |
|
|
Style Transfer (SP)
|
100% |
611
0.79 IPS |
|
|
Style Transfer (HP)
|
98% |
60852
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293186
378.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32676
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82160
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.3 IPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (HP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1746
45.7 IPS |
