Samsung Galaxy S24
Geekbench AI Score
366
Single Precision Score
21831
Half Precision Score
49394
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921U1 |
| 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 | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
18246
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
41970
7.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
10970
177.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31205
507.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
450
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
100053
116.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
396952
464.6 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
15483
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19090
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
31499
374.3 IPS |
|
|
Face Detection (Q)
|
97% |
103803
1.24 KIPS |
|
|
Depth Estimation (SP)
|
100% |
439
3.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
63569
489.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
115457
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
722
0.93 IPS |
|
|
Style Transfer (HP)
|
98% |
84845
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
422010
544.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44060
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103384
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (HP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6712
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2482
65.0 IPS |
