Samsung Galaxy Z Flip4
Geekbench AI Score
1370
Single Precision Score
2312
Half Precision Score
2071
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 16 2026 06:43 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
972
180.7 IPS |
|
|
Image Classification (HP)
|
100% |
1495
278.1 IPS |
|
|
Image Classification (Q)
|
99% |
1296
241.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2423
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6662
7.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
12408
14.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
12103
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
99% |
1278
101.4 IPS |
|
|
Object Detection (Q)
|
85% |
1216
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5055
60.1 IPS |
|
|
Face Detection (Q)
|
97% |
4110
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3321
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5712
44.1 IPS |
|
|
Depth Estimation (Q)
|
65% |
5075
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7450
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
14796
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14799
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3156
116.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2989
110.8 IPS |
|
|
Text Classification (SP)
|
35% |
48
467.0 IPS |
|
|
Text Classification (HP)
|
35% |
69
628.8 IPS |
|
|
Text Classification (Q)
|
35% |
67
606.8 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (HP)
|
97% |
652
11.3 IPS |
|
|
Machine Translation (Q)
|
64% |
510
10.5 IPS |
