Samsung Galaxy Tab S8
Geekbench AI Score
228
Single Precision Score
10505
Half Precision Score
27032
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 08:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
181
33.7 IPS |
|
|
Image Classification (HP)
|
100% |
8166
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
23221
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
6459
104.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18187
295.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
251
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
33835
39.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
220848
258.9 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.61 IPS |
|
|
Object Detection (HP)
|
100% |
7177
569.3 IPS |
|
|
Object Detection (Q)
|
88% |
11412
914.2 IPS |
|
|
Face Detection (SP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (HP)
|
100% |
17322
205.8 IPS |
|
|
Face Detection (Q)
|
97% |
63547
757.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
24983
193.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
57370
528.2 IPS |
|
|
Style Transfer (SP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (HP)
|
98% |
38228
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
210728
271.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21161
781.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51109
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
180
240.0 IPS |
|
|
Text Classification (HP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (Q)
|
94% |
4261
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (Q)
|
50% |
1170
40.5 IPS |
