Samsung Galaxy S24
Geekbench AI Score
452
Single Precision Score
16331
Half Precision Score
40355
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:38 PM |
| 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 | 6.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (HP)
|
100% |
17414
3.24 KIPS |
|
|
Image Classification (Q)
|
99% |
43595
8.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
10990
178.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29239
475.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
100522
117.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398131
466.0 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
16237
1.29 KIPS |
|
|
Object Detection (Q)
|
90% |
21019
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
673
7.99 IPS |
|
|
Face Detection (HP)
|
100% |
35352
420.1 IPS |
|
|
Face Detection (Q)
|
97% |
124545
1.49 KIPS |
|
|
Depth Estimation (SP)
|
100% |
607
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
62224
479.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
134414
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (HP)
|
24% |
3859
116.7 IPS |
|
|
Style Transfer (Q)
|
98% |
305928
394.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44375
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105053
3.89 KIPS |
|
|
Text Classification (SP)
|
100% |
406
541.8 IPS |
|
|
Text Classification (HP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6812
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (Q)
|
30% |
293
58.8 IPS |
