Samsung Galaxy S24 Ultra
Geekbench AI Score
1239
Single Precision Score
2039
Half Precision Score
2038
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | August 16 2024 08:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| 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% |
992
184.5 IPS |
|
|
Image Classification (HP)
|
100% |
1420
264.0 IPS |
|
|
Image Classification (Q)
|
99% |
1545
288.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2766
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2717
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
89% |
1208
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (Q)
|
97% |
2935
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1893
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3955
30.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
3753
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7426
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
11908
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11905
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1720
63.7 IPS |
|
|
Text Classification (SP)
|
100% |
455
606.9 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.5 IPS |
|
|
Text Classification (Q)
|
91% |
736
989.1 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
604
14.8 IPS |
