Samsung Galaxy S23 Ultra
Geekbench AI Score
394
Single Precision Score
381
Half Precision Score
808
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | abhimanbhau |
| Upload Date | August 30 2024 10:27 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U |
| 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% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
97% |
703
131.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1549
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
89% |
594
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
600
7.13 IPS |
|
|
Face Detection (Q)
|
97% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
100% |
488
3.76 IPS |
|
|
Depth Estimation (Q)
|
73% |
1120
9.16 IPS |
|
|
Style Transfer (SP)
|
100% |
733
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1617
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
952
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.9 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.4 IPS |
|
|
Text Classification (Q)
|
91% |
399
536.9 IPS |
|
|
Machine Translation (SP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
57% |
315
7.69 IPS |
