Samsung Galaxy S24 Ultra
Geekbench AI Score
2908
Single Precision Score
2887
Half Precision Score
4611
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:37 AM |
| Views | 19 |
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-S928W |
| 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% |
2486
462.4 IPS |
|
|
Image Classification (HP)
|
100% |
2469
459.2 IPS |
|
|
Image Classification (Q)
|
100% |
3469
645.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2652
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4347
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4427
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4273
4.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
9726
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
2082
165.7 IPS |
|
|
Object Detection (HP)
|
98% |
2313
184.1 IPS |
|
|
Object Detection (Q)
|
87% |
3614
290.2 IPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4187
49.7 IPS |
|
|
Face Detection (Q)
|
95% |
7516
89.7 IPS |
|
|
Depth Estimation (SP)
|
98% |
4056
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3995
30.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
7904
64.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10544
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10430
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20644
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5102
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1330
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
50% |
985
35.0 IPS |
