Samsung Galaxy S23 Ultra
Geekbench AI Score
1824
Single Precision Score
1827
Half Precision Score
2678
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 12:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
1740
323.6 IPS |
|
|
Image Classification (Q)
|
100% |
2703
502.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1804
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2982
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2915
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6477
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1296
103.2 IPS |
|
|
Object Detection (HP)
|
98% |
1412
112.3 IPS |
|
|
Object Detection (Q)
|
83% |
1868
150.9 IPS |
|
|
Face Detection (SP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
3309
39.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2622
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2590
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3479
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6065
7.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6116
7.94 IPS |
|
|
Style Transfer (Q)
|
98% |
11160
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2783
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.9 IPS |
|
|
Text Classification (HP)
|
99% |
528
704.4 IPS |
|
|
Text Classification (Q)
|
88% |
887
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
615
21.8 IPS |
