Samsung Galaxy S24
Geekbench AI Score
2875
Single Precision Score
2914
Half Precision Score
4726
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:18 PM |
| Views | 16 |
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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
2396
445.5 IPS |
|
|
Image Classification (Q)
|
100% |
3776
702.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2705
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4298
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4269
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4152
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9782
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2220
176.7 IPS |
|
|
Object Detection (HP)
|
98% |
2200
175.1 IPS |
|
|
Object Detection (Q)
|
87% |
3428
275.2 IPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (Q)
|
95% |
7486
89.4 IPS |
|
|
Depth Estimation (SP)
|
98% |
4226
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4209
32.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
8132
65.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10452
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10246
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19541
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5642
209.0 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1568
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
50% |
972
34.5 IPS |
