Asus ROG Phone 5
Geekbench AI Score
311
Single Precision Score
315
Half Precision Score
620
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
100% |
541
100.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1098
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
475
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (Q)
|
95% |
934
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1040
9.53 IPS |
|
|
Style Transfer (SP)
|
89% |
1130
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1124
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2406
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
302
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.5 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (Q)
|
88% |
272
366.9 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.39 IPS |
