Samsung Galaxy S23 Ultra
Geekbench AI Score
281
Single Precision Score
16081
Half Precision Score
36492
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | hArDsTyLe2259 |
| Upload Date | October 26 2025 03:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
12603
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
32264
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
7534
122.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21047
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72244
84.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
294187
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11857
940.5 IPS |
|
|
Object Detection (Q)
|
86% |
13385
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
456
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
23689
281.5 IPS |
|
|
Face Detection (Q)
|
97% |
81002
966.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
44728
344.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
81507
763.2 IPS |
|
|
Style Transfer (SP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
60282
77.7 IPS |
|
|
Style Transfer (Q)
|
98% |
293781
378.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32594
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82092
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
223
297.1 IPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (HP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1745
45.7 IPS |
