Samsung Galaxy Z Flip5
Geekbench AI Score
967
Single Precision Score
1318
Half Precision Score
1249
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | ChrisCR8IV |
| Upload Date | August 28 2024 03:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip5 |
| Model ID | samsung SM-F731U1 |
| 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% |
658
122.4 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (Q)
|
99% |
690
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1427
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
89% |
867
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
2313
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
3351
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1507
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2866
22.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
2724
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3865
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8217
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8233
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.3 IPS |
|
|
Text Classification (HP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (Q)
|
91% |
693
930.9 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
523
12.8 IPS |
