Samsung Galaxy S24 Ultra
Geekbench AI Score
2327
Single Precision Score
2231
Half Precision Score
3283
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | December 10 2024 12:17 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-S928B |
| 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% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.6 IPS |
|
|
Image Classification (Q)
|
100% |
3103
577.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3899
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4193
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6196
7.35 IPS |
|
|
Object Detection (SP)
|
98% |
1514
120.5 IPS |
|
|
Object Detection (HP)
|
98% |
1275
101.4 IPS |
|
|
Object Detection (Q)
|
83% |
1915
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
5040
60.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3267
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3252
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5210
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7507
9.75 IPS |
|
|
Style Transfer (HP)
|
89% |
7539
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
14214
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3805
141.0 IPS |
|
|
Text Classification (SP)
|
100% |
702
937.6 IPS |
|
|
Text Classification (HP)
|
99% |
727
971.0 IPS |
|
|
Text Classification (Q)
|
88% |
1112
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
642
22.8 IPS |
