Samsung Galaxy S24 Ultra
Geekbench AI Score
508
Single Precision Score
16220
Half Precision Score
39133
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 06 2024 02:48 PM |
| 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% |
319
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
17633
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
41285
7.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
10788
174.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
29080
472.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
100338
117.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
399016
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
16153
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19141
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
35466
421.4 IPS |
|
|
Face Detection (Q)
|
97% |
128386
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
60894
469.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
114978
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
1023
1.31 IPS |
|
|
Style Transfer (HP)
|
24% |
3860
116.8 IPS |
|
|
Style Transfer (Q)
|
98% |
306366
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44368
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105099
3.89 KIPS |
|
|
Text Classification (SP)
|
100% |
453
604.2 IPS |
|
|
Text Classification (HP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6806
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (Q)
|
30% |
284
57.0 IPS |
