Asus ROG Phone 5
Geekbench AI Score
204
Single Precision Score
212
Half Precision Score
408
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 14.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (Q)
|
100% |
456
84.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
304
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
777
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
100
7.93 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (Q)
|
83% |
246
19.8 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.94 IPS |
|
|
Face Detection (HP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (Q)
|
95% |
533
6.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
340
2.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
608
5.56 IPS |
|
|
Style Transfer (SP)
|
89% |
782
1.02 IPS |
|
|
Style Transfer (HP)
|
89% |
714
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
1532
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
386
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.9 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.8 IPS |
|
|
Text Classification (Q)
|
88% |
257
347.3 IPS |
|
|
Machine Translation (SP)
|
100% |
156
2.69 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (Q)
|
50% |
100
3.55 IPS |
