Samsung Galaxy S24 Ultra
Geekbench AI Score
2432
Single Precision Score
2416
Half Precision Score
3606
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:41 PM |
| Views | 1 |
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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2447
455.1 IPS |
|
|
Image Classification (HP)
|
100% |
2497
464.3 IPS |
|
|
Image Classification (Q)
|
100% |
3542
658.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2754
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4465
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4191
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4087
4.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
7935
9.41 IPS |
|
|
Object Detection (SP)
|
98% |
1779
141.6 IPS |
|
|
Object Detection (HP)
|
98% |
1528
121.6 IPS |
|
|
Object Detection (Q)
|
83% |
2470
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (Q)
|
95% |
5379
64.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3400
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3474
26.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5448
49.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8473
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8432
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15778
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3814
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
690
920.8 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.9 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
708
25.1 IPS |
