Samsung Galaxy S24+
Geekbench AI Score
2614
Single Precision Score
2696
Half Precision Score
3992
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:44 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+ |
| Model ID | samsung SM-S926U1 |
| 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% |
2478
460.8 IPS |
|
|
Image Classification (HP)
|
100% |
2487
462.4 IPS |
|
|
Image Classification (Q)
|
100% |
3195
594.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4253
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4231
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4144
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9945
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2121
168.8 IPS |
|
|
Object Detection (HP)
|
98% |
2190
174.3 IPS |
|
|
Object Detection (Q)
|
83% |
3420
276.2 IPS |
|
|
Face Detection (SP)
|
100% |
4246
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (Q)
|
95% |
5736
68.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3341
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3784
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6487
59.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9676
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8785
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16708
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4258
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.7 IPS |
|
|
Text Classification (HP)
|
99% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1176
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
716
25.4 IPS |
