Samsung Galaxy Tab S8
Geekbench AI Score
1693
Single Precision Score
1670
Half Precision Score
2514
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | December 05 2024 05:58 AM |
| Views | 12 |
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 |
| Model ID | samsung SM-X700 |
| 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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
1445
268.7 IPS |
|
|
Image Classification (Q)
|
100% |
2014
374.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2292
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
4754
5.64 IPS |
|
|
Object Detection (SP)
|
98% |
1230
97.9 IPS |
|
|
Object Detection (HP)
|
98% |
1235
98.3 IPS |
|
|
Object Detection (Q)
|
83% |
1797
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2397
28.5 IPS |
|
|
Face Detection (Q)
|
95% |
4086
48.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2622
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2537
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4168
38.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5210
6.76 IPS |
|
|
Style Transfer (HP)
|
89% |
5453
7.08 IPS |
|
|
Style Transfer (Q)
|
98% |
10196
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2583
95.7 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.8 IPS |
|
|
Text Classification (HP)
|
99% |
577
770.4 IPS |
|
|
Text Classification (Q)
|
88% |
1026
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
