Samsung Galaxy S24 Ultra
Geekbench AI Score
2334
Single Precision Score
2235
Half Precision Score
3434
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 08:51 AM |
| Views | 1 |
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% |
2481
461.4 IPS |
|
|
Image Classification (HP)
|
100% |
2238
416.1 IPS |
|
|
Image Classification (Q)
|
100% |
3363
625.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2625
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4264
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4106
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3283
3.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
7526
8.93 IPS |
|
|
Object Detection (SP)
|
98% |
1562
124.3 IPS |
|
|
Object Detection (HP)
|
98% |
1576
125.4 IPS |
|
|
Object Detection (Q)
|
83% |
2316
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5078
60.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3180
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3158
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5134
47.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7888
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7935
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14333
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3786
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
686
915.6 IPS |
|
|
Text Classification (HP)
|
99% |
647
863.2 IPS |
|
|
Text Classification (Q)
|
88% |
961
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
672
23.8 IPS |
