Samsung Galaxy S24 Ultra
Geekbench AI Score
403
Single Precision Score
22065
Half Precision Score
50419
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mihun70 |
| Upload Date | January 19 2025 09:57 AM |
| Views | 2 |
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-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% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
18222
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
42648
7.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
11034
178.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31587
513.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
100393
117.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
398085
465.9 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
15692
1.24 KIPS |
|
|
Object Detection (Q)
|
86% |
19582
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (HP)
|
100% |
34389
408.6 IPS |
|
|
Face Detection (Q)
|
97% |
117291
1.40 KIPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
63408
488.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
114741
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (HP)
|
98% |
85050
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
422060
544.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44296
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103592
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
300
401.0 IPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6831
9.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2515
65.9 IPS |
