Samsung Galaxy S24 Ultra
Geekbench AI Score
2213
Single Precision Score
2369
Half Precision Score
3532
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 01:25 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% |
1082
201.2 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.5 IPS |
|
|
Image Classification (Q)
|
100% |
3361
625.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2627
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4281
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4272
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3492
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
7929
9.40 IPS |
|
|
Object Detection (SP)
|
98% |
1591
126.6 IPS |
|
|
Object Detection (HP)
|
98% |
1590
126.5 IPS |
|
|
Object Detection (Q)
|
83% |
2082
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
5349
63.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3471
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3481
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5627
51.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8281
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8296
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14920
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3783
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
689
919.3 IPS |
|
|
Text Classification (HP)
|
99% |
735
980.8 IPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
670
23.8 IPS |
