Samsung Galaxy S24 Ultra
Geekbench AI Score
338
Single Precision Score
21520
Half Precision Score
49272
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Spiike |
| Upload Date | July 16 2025 02:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928W |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
229
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
17040
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
41786
7.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
10793
175.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
29864
485.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
99373
116.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
396391
464.0 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
15549
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19397
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
502
5.97 IPS |
|
|
Face Detection (HP)
|
100% |
32437
385.4 IPS |
|
|
Face Detection (Q)
|
97% |
107720
1.28 KIPS |
|
|
Depth Estimation (SP)
|
100% |
436
3.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
59985
462.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
114181
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (HP)
|
98% |
85004
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
421794
543.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44093
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103526
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
277
370.1 IPS |
|
|
Text Classification (HP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2439
63.9 IPS |
