Samsung Galaxy S23 Ultra
Geekbench AI Score
1818
Single Precision Score
1808
Half Precision Score
2659
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 12:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918N |
| 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% |
1802
335.1 IPS |
|
|
Image Classification (HP)
|
100% |
1818
338.1 IPS |
|
|
Image Classification (Q)
|
100% |
2806
521.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3126
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
5550
6.58 IPS |
|
|
Object Detection (SP)
|
98% |
1293
102.9 IPS |
|
|
Object Detection (HP)
|
98% |
1288
102.5 IPS |
|
|
Object Detection (Q)
|
83% |
1804
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (Q)
|
95% |
3984
47.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2465
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2485
19.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2982
27.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6021
7.82 IPS |
|
|
Style Transfer (HP)
|
89% |
6018
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11133
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2862
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
550
734.7 IPS |
|
|
Text Classification (HP)
|
99% |
532
710.3 IPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
588
20.9 IPS |
