Samsung Galaxy Z Flip5
Geekbench AI Score
280
Single Precision Score
10995
Half Precision Score
26033
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | November 01 2024 12:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip5 |
| Model ID | samsung SM-F731U |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (HP)
|
100% |
12348
2.30 KIPS |
|
|
Image Classification (Q)
|
97% |
31373
5.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
7775
126.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20295
330.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
67550
78.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
272335
318.8 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
10576
838.9 IPS |
|
|
Object Detection (Q)
|
86% |
11796
948.5 IPS |
|
|
Face Detection (SP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
22820
271.1 IPS |
|
|
Face Detection (Q)
|
97% |
71297
850.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
40502
312.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
76066
712.3 IPS |
|
|
Style Transfer (SP)
|
100% |
502
0.65 IPS |
|
|
Style Transfer (HP)
|
24% |
2849
86.2 IPS |
|
|
Style Transfer (Q)
|
98% |
209629
270.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25889
955.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
65524
2.43 KIPS |
|
|
Text Classification (SP)
|
100% |
188
251.3 IPS |
|
|
Text Classification (HP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5214
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (Q)
|
30% |
180
36.2 IPS |
