Samsung Galaxy S24 Ultra
Geekbench AI Score
2990
Single Precision Score
3067
Half Precision Score
4991
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | JNK333 |
| Upload Date | March 17 2025 02:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
2487
462.5 IPS |
|
|
Image Classification (Q)
|
100% |
3554
661.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2714
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4402
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5046
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4967
5.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
10901
12.9 IPS |
|
|
Object Detection (SP)
|
98% |
2421
192.7 IPS |
|
|
Object Detection (HP)
|
98% |
2040
162.3 IPS |
|
|
Object Detection (Q)
|
83% |
3753
303.1 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4477
53.2 IPS |
|
|
Face Detection (Q)
|
95% |
8306
99.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4648
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4690
36.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8404
77.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11650
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11322
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22723
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5695
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
99% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1632
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (Q)
|
50% |
1017
36.1 IPS |
