Samsung Galaxy Tab S8+
Geekbench AI Score
230
Single Precision Score
10713
Half Precision Score
28300
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mystline |
| Upload Date | February 01 2025 03:06 AM |
| Views | 14 |
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-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% |
177
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
8441
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
24151
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
6583
106.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19064
310.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
34168
39.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
220424
258.4 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.80 IPS |
|
|
Object Detection (HP)
|
100% |
7584
601.6 IPS |
|
|
Object Detection (Q)
|
88% |
11758
941.9 IPS |
|
|
Face Detection (SP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (HP)
|
100% |
17713
210.5 IPS |
|
|
Face Detection (Q)
|
97% |
68100
812.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
284
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
23689
183.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
62212
572.7 IPS |
|
|
Style Transfer (SP)
|
100% |
502
0.65 IPS |
|
|
Style Transfer (HP)
|
98% |
40194
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
216037
278.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21347
788.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58570
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
176
234.7 IPS |
|
|
Text Classification (HP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (Q)
|
94% |
4385
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1175
40.7 IPS |
