motorola motorola razr 50 ultra
Geekbench AI Score
396
Single Precision Score
364
Half Precision Score
21028
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | October 17 2024 07:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola razr 50 ultra |
| Model ID | motorola motorola razr 50 ultra |
| Motherboard | arcfox |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
265
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (Q)
|
97% |
26222
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
17876
290.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
134387
157.3 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
86% |
11536
927.6 IPS |
|
|
Face Detection (SP)
|
100% |
576
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (Q)
|
97% |
61116
728.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
458
3.53 IPS |
|
|
Depth Estimation (Q)
|
63% |
58326
546.1 IPS |
|
|
Style Transfer (SP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
162903
210.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
44147
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
356
475.0 IPS |
|
|
Text Classification (HP)
|
100% |
383
510.7 IPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
30% |
168
33.8 IPS |
