OSCAL TIGER 8
Geekbench AI Score
595
Single Precision Score
583
Half Precision Score
1319
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 10:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OSCAL TIGER 8 |
| Model ID | OSCAL TIGER 8 |
| Motherboard | ums9620_2h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (Q)
|
100% |
1081
201.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1335
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
2074
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
83% |
961
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
831
9.87 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
95% |
2275
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1037
7.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1059
8.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
1647
15.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1777
2.31 IPS |
|
|
Style Transfer (HP)
|
89% |
1667
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6590
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.9 IPS |
|
|
Text Classification (HP)
|
100% |
423
565.0 IPS |
|
|
Text Classification (Q)
|
88% |
713
962.0 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (Q)
|
50% |
274
9.73 IPS |
