Samsung Galaxy S24 Ultra
Geekbench AI Score
414
Single Precision Score
22118
Half Precision Score
50321
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jkovacs87 |
| Upload Date | March 15 2025 02:31 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
313
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
18155
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
41783
7.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
10986
178.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
31455
511.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
98599
115.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
397814
465.6 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
16025
1.27 KIPS |
|
|
Object Detection (Q)
|
86% |
19913
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
508
6.03 IPS |
|
|
Face Detection (HP)
|
100% |
32879
390.7 IPS |
|
|
Face Detection (Q)
|
97% |
113007
1.35 KIPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
63284
487.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
116360
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
809
1.04 IPS |
|
|
Style Transfer (HP)
|
98% |
85450
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422630
545.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44160
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
101331
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
343
458.1 IPS |
|
|
Text Classification (HP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6758
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2628
68.8 IPS |
