Samsung Galaxy Tab S7+
Geekbench AI Score
449
Single Precision Score
757
Half Precision Score
771
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daviangel |
| Upload Date | February 03 2025 10:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Tab S7+ |
| Model ID | samsung SM-T970 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
97% |
441
82.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
1108
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
89% |
391
31.3 IPS |
|
|
Face Detection (SP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1419
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
1268
9.80 IPS |
|
|
Depth Estimation (Q)
|
62% |
1035
9.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1281
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3249
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3193
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
719
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
706
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
241
322.2 IPS |
|
|
Text Classification (HP)
|
100% |
241
322.1 IPS |
|
|
Text Classification (Q)
|
91% |
420
565.0 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.26 IPS |
