Razer Phone 2
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
9
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bahmanabbassi |
| Upload Date | November 17 2025 08:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Razer Phone 2 |
| Model ID | Razer Phone 2 |
| Motherboard | cheryl2 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.56 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.50 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.48 KIPS |
|
|
Image Segmentation (SP)
|
73% |
14425
249.3 IPS |
|
|
Image Segmentation (HP)
|
73% |
14413
249.1 IPS |
|
|
Image Segmentation (Q)
|
73% |
35514
613.7 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
784.4 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
808.7 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.97 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.07 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.04 KIPS |
|
|
Object Detection (Q)
|
0% |
0
880.4 IPS |
|
|
Face Detection (SP)
|
0% |
0
327.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
320.4 IPS |
|
|
Face Detection (Q)
|
0% |
0
521.4 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
826.0 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
874.1 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
746.8 IPS |
|
|
Style Transfer (SP)
|
32% |
129842
1.63 KIPS |
|
|
Style Transfer (HP)
|
32% |
123578
1.55 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.44 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
261
3.08 KIPS |
|
|
Text Classification (SP)
|
29% |
367
6.34 KIPS |
|
|
Text Classification (HP)
|
29% |
359
6.21 KIPS |
|
|
Text Classification (Q)
|
29% |
385
6.65 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.89 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.80 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.39 IPS |
