Samsung Galaxy S24 Ultra
Geekbench AI Score
2037
Single Precision Score
2106
Half Precision Score
3139
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | deimos1985 |
| Upload Date | October 05 2024 01:42 PM |
| Views | 12 |
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% |
2464
458.3 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (Q)
|
100% |
3726
693.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3976
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4152
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3500
4.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
6209
7.36 IPS |
|
|
Object Detection (SP)
|
98% |
1374
109.4 IPS |
|
|
Object Detection (HP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (Q)
|
83% |
1761
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (Q)
|
95% |
4194
50.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2164
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4907
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7473
9.70 IPS |
|
|
Style Transfer (HP)
|
89% |
7404
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
14177
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3153
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.0 IPS |
|
|
Text Classification (HP)
|
99% |
592
790.1 IPS |
|
|
Text Classification (Q)
|
88% |
919
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
680
24.1 IPS |
