Samsung Galaxy S24 Ultra
Geekbench AI Score
2376
Single Precision Score
2296
Half Precision Score
3622
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 04:52 AM |
| Views | 2 |
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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2410
448.3 IPS |
|
|
Image Classification (HP)
|
100% |
2262
420.7 IPS |
|
|
Image Classification (Q)
|
100% |
3853
716.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2637
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4224
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4280
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3611
4.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
8342
9.89 IPS |
|
|
Object Detection (SP)
|
98% |
1789
142.3 IPS |
|
|
Object Detection (HP)
|
98% |
1377
109.6 IPS |
|
|
Object Detection (Q)
|
83% |
2265
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (Q)
|
95% |
5357
64.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3397
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3398
26.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5476
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8330
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8352
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15511
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3697
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
696
928.5 IPS |
|
|
Text Classification (HP)
|
99% |
644
860.0 IPS |
|
|
Text Classification (Q)
|
88% |
1056
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
713
25.3 IPS |
