Samsung Galaxy S24
Geekbench AI Score
378
Single Precision Score
16069
Half Precision Score
38679
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | September 06 2024 07:06 AM |
| Views | 19 |
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 | 6.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (HP)
|
100% |
17321
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
42526
7.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
10612
172.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
29045
472.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
100190
116.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
397708
465.5 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
15986
1.27 KIPS |
|
|
Object Detection (Q)
|
86% |
18859
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
564
6.71 IPS |
|
|
Face Detection (HP)
|
100% |
34532
410.3 IPS |
|
|
Face Detection (Q)
|
97% |
117392
1.40 KIPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
61540
474.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
115628
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
24% |
3853
116.6 IPS |
|
|
Style Transfer (Q)
|
98% |
305360
393.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44235
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104694
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
314
419.5 IPS |
|
|
Text Classification (HP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6706
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (Q)
|
30% |
278
55.8 IPS |
