Samsung Galaxy S24 Ultra
Geekbench AI Score
2922
Single Precision Score
2948
Half Precision Score
4724
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | curranc |
| Upload Date | February 17 2025 05:17 PM |
| Views | 5 |
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-S928B |
| 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% |
2053
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
2461
457.7 IPS |
|
|
Image Classification (Q)
|
100% |
3517
654.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2754
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4344
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4537
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4341
5.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
10245
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
2238
178.1 IPS |
|
|
Object Detection (HP)
|
98% |
2195
174.6 IPS |
|
|
Object Detection (Q)
|
83% |
3271
264.2 IPS |
|
|
Face Detection (SP)
|
100% |
4352
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (Q)
|
95% |
7888
94.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4354
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4289
33.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7444
68.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10676
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10102
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20850
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5600
207.5 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1615
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (Q)
|
50% |
978
34.7 IPS |
