Samsung Galaxy Tab S8+
Geekbench AI Score
400
Single Precision Score
403
Half Precision Score
925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 06:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Tab S8+ |
| Model ID | samsung SM-X800 |
| 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% |
206
38.3 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
100% |
819
152.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
747
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
977
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
1818
2.16 IPS |
|
|
Object Detection (SP)
|
98% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
98% |
168
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
624
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.57 IPS |
|
|
Face Detection (Q)
|
95% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
660
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
655
5.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1347
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1253
1.63 IPS |
|
|
Style Transfer (HP)
|
89% |
1249
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3406
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
826
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.4 IPS |
|
|
Text Classification (HP)
|
99% |
238
317.5 IPS |
|
|
Text Classification (Q)
|
88% |
510
687.8 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
50% |
294
10.4 IPS |
