Samsung Galaxy S24 Ultra
Geekbench AI Score
2939
Single Precision Score
3039
Half Precision Score
4625
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 07:35 PM |
| Views | 1 |
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 Ultra |
| Model ID | samsung SM-S928B |
| 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.8 IPS |
|
|
Image Classification (Q)
|
100% |
2850
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2663
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4402
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4729
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4508
5.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
10403
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
2091
166.4 IPS |
|
|
Object Detection (HP)
|
98% |
2310
183.8 IPS |
|
|
Object Detection (Q)
|
83% |
3206
258.9 IPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
4388
52.1 IPS |
|
|
Face Detection (Q)
|
95% |
7759
92.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4435
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4421
34.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7713
70.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10543
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10625
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20471
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5605
207.7 IPS |
|
|
Text Classification (SP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (HP)
|
99% |
1130
1.51 KIPS |
|
|
Text Classification (Q)
|
88% |
1587
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (Q)
|
50% |
984
34.9 IPS |
