Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
316
Single Precision Score
315
Half Precision Score
799
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 02:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S8 Ultra |
| Model ID | samsung SM-X900 |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.0 IPS |
|
|
Image Classification (Q)
|
99% |
553
103.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
589
9.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
1301
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
87% |
584
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
97% |
1284
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
408
3.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1080
9.80 IPS |
|
|
Style Transfer (SP)
|
100% |
694
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1890
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
738
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.9 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.4 IPS |
|
|
Text Classification (Q)
|
91% |
522
702.3 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |
