Samsung Galaxy S24 Ultra
Geekbench AI Score
1042
Single Precision Score
1625
Half Precision Score
1462
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
96% |
661
123.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1187
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2292
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
2298
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
87% |
820
65.8 IPS |
|
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
1735
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1797
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3796
29.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3140
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6622
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
10492
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9941
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1345
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.3 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.6 IPS |
|
|
Text Classification (Q)
|
91% |
719
966.3 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
577
14.1 IPS |
