Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
1362
Single Precision Score
1370
Half Precision Score
1957
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 02:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S8 Ultra |
| Model ID | samsung SM-X900 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1161
215.8 IPS |
|
|
Image Classification (HP)
|
100% |
906
168.6 IPS |
|
|
Image Classification (Q)
|
100% |
1391
258.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1522
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
4161
4.93 IPS |
|
|
Object Detection (SP)
|
98% |
1052
83.8 IPS |
|
|
Object Detection (HP)
|
98% |
1054
83.8 IPS |
|
|
Object Detection (Q)
|
83% |
1281
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (Q)
|
95% |
2947
35.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2269
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2281
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3241
29.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4603
5.97 IPS |
|
|
Style Transfer (HP)
|
89% |
4624
6.00 IPS |
|
|
Style Transfer (Q)
|
98% |
8676
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2168
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
448
597.6 IPS |
|
|
Text Classification (HP)
|
99% |
448
598.6 IPS |
|
|
Text Classification (Q)
|
88% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
514
18.3 IPS |
