Samsung Galaxy Tab S8 Ultra 5G
Geekbench AI Score
589
Single Precision Score
826
Half Precision Score
831
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 25 2024 11:06 PM |
| Views | 12 |
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 5G |
| Model ID | samsung SM-X906B |
| 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 | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.7 IPS |
|
|
Image Classification (Q)
|
97% |
498
92.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1192
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
722
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1254
1.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
1073
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
315
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
86% |
509
40.9 IPS |
|
|
Face Detection (SP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1877
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
912
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1516
11.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
1411
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1709
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3595
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3694
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
374
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.8 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.4 IPS |
|
|
Text Classification (Q)
|
91% |
321
432.0 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
57% |
414
10.1 IPS |
