Samsung Galaxy S23 Ultra
Geekbench AI Score
1436
Single Precision Score
2297
Half Precision Score
1833
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | HarryN1pz |
| Upload Date | August 02 2025 09:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1070
198.9 IPS |
|
|
Image Classification (HP)
|
100% |
1636
304.2 IPS |
|
|
Image Classification (Q)
|
99% |
1616
301.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4068
65.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3622
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8458
9.87 IPS |
|
|
Pose Estimation (HP)
|
99% |
15483
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
8459
9.91 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
902
71.6 IPS |
|
|
Object Detection (Q)
|
82% |
850
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (Q)
|
97% |
3719
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2868
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4434
34.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3448
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7510
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
15353
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18055
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3068
113.7 IPS |
|
|
Text Classification (SP)
|
35% |
40
389.0 IPS |
|
|
Text Classification (HP)
|
35% |
57
516.9 IPS |
|
|
Text Classification (Q)
|
35% |
48
470.4 IPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
97% |
859
14.9 IPS |
|
|
Machine Translation (Q)
|
49% |
300
11.3 IPS |
