Samsung Galaxy Tab S8 5G
Geekbench AI Score
305
Single Precision Score
10907
Half Precision Score
29069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S8 5G |
| Model ID | samsung SM-X706B |
| 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% |
199
36.9 IPS |
|
|
Image Classification (HP)
|
100% |
8465
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
23850
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
6629
107.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19077
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
296
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
35612
41.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
225789
264.7 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
7862
623.6 IPS |
|
|
Object Detection (Q)
|
88% |
12115
970.5 IPS |
|
|
Face Detection (SP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (HP)
|
100% |
18378
218.4 IPS |
|
|
Face Detection (Q)
|
97% |
73916
881.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
386
2.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
24704
190.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
63377
583.5 IPS |
|
|
Style Transfer (SP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (HP)
|
98% |
38154
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
218168
281.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21667
800.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
63711
2.36 KIPS |
|
|
Text Classification (SP)
|
100% |
275
367.0 IPS |
|
|
Text Classification (HP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (Q)
|
94% |
4327
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1229
42.6 IPS |
