OSCAL TIGER 8
Geekbench AI Score
628
Single Precision Score
623
Half Precision Score
1347
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 10:46 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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
100% |
1141
212.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1329
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1223
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1710
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
937
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (Q)
|
95% |
2386
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
866
6.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
915
7.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1704
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2161
2.81 IPS |
|
|
Style Transfer (HP)
|
89% |
2230
2.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5864
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1688
62.6 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.7 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.4 IPS |
|
|
Text Classification (Q)
|
88% |
740
997.7 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (Q)
|
50% |
273
9.69 IPS |
