Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
673
Single Precision Score
914
Half Precision Score
955
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 02:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
97% |
401
74.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1087
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1277
1.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
1275
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
89% |
638
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1429
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1098
8.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1984
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2748
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
6019
7.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6041
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
472
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.7 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.3 IPS |
|
|
Text Classification (Q)
|
91% |
521
700.0 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.55 IPS |
|
|
Machine Translation (Q)
|
57% |
423
10.3 IPS |
