Samsung Galaxy S24 Ultra
Geekbench AI Score
946
Single Precision Score
1567
Half Precision Score
1526
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 16 |
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-S928W |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (Q)
|
99% |
671
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1122
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2254
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
89% |
849
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
2767
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1635
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3459
26.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
3247
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6179
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
10000
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9924
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1294
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.9 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.4 IPS |
|
|
Text Classification (Q)
|
91% |
683
917.7 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
567
13.8 IPS |
