Samsung Galaxy S24+
Geekbench AI Score
2915
Single Precision Score
2888
Half Precision Score
4726
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 03:03 PM |
| 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+ |
| Model ID | samsung SM-S9260 |
| 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% |
2429
451.7 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.8 IPS |
|
|
Image Classification (Q)
|
100% |
3882
721.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2684
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4382
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4339
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4249
4.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
10128
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
2246
178.7 IPS |
|
|
Object Detection (HP)
|
98% |
2254
179.4 IPS |
|
|
Object Detection (Q)
|
83% |
3524
284.7 IPS |
|
|
Face Detection (SP)
|
100% |
4119
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (Q)
|
95% |
7744
92.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4036
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3822
29.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7403
67.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10479
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10476
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20721
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5494
203.6 IPS |
|
|
Text Classification (SP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1534
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
915
32.5 IPS |
