Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
634
Single Precision Score
892
Half Precision Score
883
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 01:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
97% |
331
61.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1088
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1290
1.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
1265
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
89% |
628
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1517
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1628
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1111
8.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
2500
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2024
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2751
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
6041
7.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6125
7.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
493
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.0 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.6 IPS |
|
|
Text Classification (Q)
|
91% |
355
477.3 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
