Samsung Galaxy Tab S8
Geekbench AI Score
301
Single Precision Score
8234
Half Precision Score
23590
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:49 AM |
| Views | 2 |
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 |
| 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
8333
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
23788
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
6688
108.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17593
286.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
295
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
35315
41.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
225132
264.0 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
7820
620.3 IPS |
|
|
Object Detection (Q)
|
88% |
11241
900.5 IPS |
|
|
Face Detection (SP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (HP)
|
100% |
18094
215.0 IPS |
|
|
Face Detection (Q)
|
97% |
73609
877.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
27898
215.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
62166
572.3 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.85 IPS |
|
|
Style Transfer (HP)
|
24% |
2123
64.2 IPS |
|
|
Style Transfer (Q)
|
98% |
145512
187.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
196
7.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21675
800.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54337
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
278
371.1 IPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
94% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (HP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (Q)
|
37% |
336
33.9 IPS |
