Samsung Galaxy S24 Ultra
Geekbench AI Score
2461
Single Precision Score
2488
Half Precision Score
3703
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gundamf90 |
| Upload Date | August 18 2024 01:58 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% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
2434
452.6 IPS |
|
|
Image Classification (Q)
|
100% |
2676
497.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4321
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4133
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
9464
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1761
140.1 IPS |
|
|
Object Detection (HP)
|
98% |
1763
140.3 IPS |
|
|
Object Detection (Q)
|
87% |
2371
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5688
67.9 IPS |
|
|
Depth Estimation (SP)
|
98% |
3438
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3381
26.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
6514
52.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8653
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8660
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16487
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4232
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
712
949.9 IPS |
|
|
Text Classification (HP)
|
99% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1041
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
695
24.7 IPS |
