Samsung Galaxy Z Flip4
Geekbench AI Score
1061
Single Precision Score
983
Half Precision Score
1278
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 12:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip4 |
| Model ID | samsung SM-F721B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1595
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.2 IPS |
|
|
Image Classification (Q)
|
100% |
1149
213.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1304
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
2430
2.88 IPS |
|
|
Object Detection (SP)
|
98% |
615
48.9 IPS |
|
|
Object Detection (HP)
|
98% |
688
54.7 IPS |
|
|
Object Detection (Q)
|
83% |
929
75.1 IPS |
|
|
Face Detection (SP)
|
100% |
1407
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
1755
21.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1551
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2132
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3226
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3194
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5569
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1227
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.0 IPS |
|
|
Text Classification (HP)
|
99% |
255
339.7 IPS |
|
|
Text Classification (Q)
|
88% |
416
560.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
