Samsung Galaxy S24 Ultra
Geekbench AI Score
2332
Single Precision Score
2347
Half Precision Score
3506
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (Q)
|
100% |
3212
597.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4153
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3843
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3447
4.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
7553
8.96 IPS |
|
|
Object Detection (SP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (HP)
|
98% |
1662
132.3 IPS |
|
|
Object Detection (Q)
|
83% |
2354
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5404
64.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3158
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3186
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5533
50.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8127
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8119
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14915
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3796
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
658
878.2 IPS |
|
|
Text Classification (HP)
|
99% |
663
884.4 IPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
710
25.2 IPS |
