Samsung Galaxy S24 Ultra
Geekbench AI Score
466
Single Precision Score
16343
Half Precision Score
39841
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:34 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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
17481
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
43265
8.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
11040
179.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
29363
477.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
98356
114.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398630
466.6 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
16389
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
19364
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
688
8.17 IPS |
|
|
Face Detection (HP)
|
100% |
35692
424.1 IPS |
|
|
Face Detection (Q)
|
97% |
127625
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
594
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
61992
477.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
117505
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
986
1.27 IPS |
|
|
Style Transfer (HP)
|
24% |
3860
116.8 IPS |
|
|
Style Transfer (Q)
|
98% |
306394
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44459
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
114835
4.26 KIPS |
|
|
Text Classification (SP)
|
100% |
420
560.2 IPS |
|
|
Text Classification (HP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6763
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (Q)
|
30% |
288
57.8 IPS |
