Asus ROG Phone 5
Geekbench AI Score
581
Single Precision Score
646
Half Precision Score
642
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Asus ROG Phone 5 |
| Model ID | asus ASUS_I005DA |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Venus |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (Q)
|
97% |
381
71.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
956
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
613
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
389
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
89% |
340
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1364
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
985
7.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.80 IPS |
|
|
Depth Estimation (Q)
|
62% |
939
8.89 IPS |
|
|
Style Transfer (SP)
|
100% |
1746
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3220
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3160
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
471
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
219
291.9 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.2 IPS |
|
|
Text Classification (Q)
|
91% |
471
633.7 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.73 IPS |
