Samsung Galaxy S24
Geekbench AI Score
2862
Single Precision Score
2916
Half Precision Score
4488
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:37 AM |
| Views | 15 |
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-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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.6 IPS |
|
|
Image Classification (Q)
|
100% |
3844
714.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4281
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4291
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4177
4.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
9897
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
2239
178.2 IPS |
|
|
Object Detection (HP)
|
98% |
2232
177.6 IPS |
|
|
Object Detection (Q)
|
87% |
3471
278.7 IPS |
|
|
Face Detection (SP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4143
49.2 IPS |
|
|
Face Detection (Q)
|
95% |
7538
90.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
4011
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4226
32.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
8157
66.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10439
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10329
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19919
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2200
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5516
204.4 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
870
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (Q)
|
50% |
998
35.4 IPS |
