Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
1712
Single Precision Score
1696
Half Precision Score
2560
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 01:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1481
275.4 IPS |
|
|
Image Classification (HP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (Q)
|
100% |
2168
403.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2236
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2405
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2227
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
4774
5.66 IPS |
|
|
Object Detection (SP)
|
98% |
1245
99.0 IPS |
|
|
Object Detection (HP)
|
98% |
1282
102.0 IPS |
|
|
Object Detection (Q)
|
83% |
1732
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (Q)
|
95% |
4012
47.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2515
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2400
18.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3943
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5517
7.16 IPS |
|
|
Style Transfer (HP)
|
89% |
5379
6.98 IPS |
|
|
Style Transfer (Q)
|
98% |
10753
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2649
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
578
770.9 IPS |
|
|
Text Classification (HP)
|
99% |
593
791.9 IPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
622
22.1 IPS |
