Samsung Galaxy S24 Ultra
Geekbench AI Score
2025
Single Precision Score
1961
Half Precision Score
2964
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | September 04 2024 01:06 PM |
| Views | 3 |
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-S9280 |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (Q)
|
100% |
3170
589.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3267
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3947
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
6639
7.87 IPS |
|
|
Object Detection (SP)
|
98% |
1338
106.5 IPS |
|
|
Object Detection (HP)
|
98% |
1214
96.6 IPS |
|
|
Object Detection (Q)
|
87% |
1747
140.3 IPS |
|
|
Face Detection (SP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
4020
48.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
2722
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2581
19.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
4802
38.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6578
8.54 IPS |
|
|
Style Transfer (HP)
|
89% |
6550
8.50 IPS |
|
|
Style Transfer (Q)
|
98% |
12734
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2985
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
508
678.2 IPS |
|
|
Text Classification (HP)
|
99% |
570
760.2 IPS |
|
|
Text Classification (Q)
|
88% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
690
24.5 IPS |
