Samsung Galaxy S24 Ultra
Geekbench AI Score
2238
Single Precision Score
2271
Half Precision Score
3378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 02:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.9 IPS |
|
|
Image Classification (Q)
|
100% |
2968
551.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3896
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3261
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
7527
8.93 IPS |
|
|
Object Detection (SP)
|
98% |
1575
125.4 IPS |
|
|
Object Detection (HP)
|
98% |
1608
127.9 IPS |
|
|
Object Detection (Q)
|
83% |
2135
172.4 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
4960
59.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3084
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3137
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5176
47.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7987
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7997
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15149
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3752
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.1 IPS |
|
|
Text Classification (HP)
|
99% |
655
873.9 IPS |
|
|
Text Classification (Q)
|
88% |
1068
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
670
23.8 IPS |
