Samsung Galaxy S24 Ultra
Geekbench AI Score
2609
Single Precision Score
2503
Half Precision Score
3967
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 11:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U1 |
| 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% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (Q)
|
100% |
2648
492.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4354
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4249
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
9622
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1978
157.4 IPS |
|
|
Object Detection (HP)
|
98% |
2141
170.3 IPS |
|
|
Object Detection (Q)
|
83% |
3102
250.6 IPS |
|
|
Face Detection (SP)
|
100% |
4137
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
7081
84.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4290
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4291
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5216
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9943
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8755
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16627
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4495
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
1323
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
769
27.3 IPS |
