Samsung Galaxy S24 Ultra
Geekbench AI Score
2389
Single Precision Score
2338
Half Precision Score
3593
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | dvmi1 |
| Upload Date | August 16 2024 06:56 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (HP)
|
100% |
2442
454.1 IPS |
|
|
Image Classification (Q)
|
100% |
3142
584.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4436
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3461
4.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
7858
9.32 IPS |
|
|
Object Detection (SP)
|
98% |
1588
126.3 IPS |
|
|
Object Detection (HP)
|
98% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
87% |
2465
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (Q)
|
95% |
5401
64.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
3305
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3402
26.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
5898
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7918
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7923
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15116
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3788
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.6 IPS |
|
|
Text Classification (HP)
|
99% |
672
897.6 IPS |
|
|
Text Classification (Q)
|
88% |
1009
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
722
25.6 IPS |
