Samsung Galaxy S24
Geekbench AI Score
439
Single Precision Score
16153
Half Precision Score
38788
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | November 23 2024 02:15 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921W |
| 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
17813
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
42819
7.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
10756
174.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29177
474.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
100112
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398706
466.7 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
16097
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
18987
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
595
7.08 IPS |
|
|
Face Detection (HP)
|
100% |
34551
410.5 IPS |
|
|
Face Detection (Q)
|
97% |
118309
1.41 KIPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
60764
468.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
112339
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
843
1.08 IPS |
|
|
Style Transfer (HP)
|
24% |
3856
116.6 IPS |
|
|
Style Transfer (Q)
|
98% |
305911
394.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44362
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104889
3.89 KIPS |
|
|
Text Classification (SP)
|
100% |
381
507.9 IPS |
|
|
Text Classification (HP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6803
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (Q)
|
30% |
281
56.4 IPS |
