Samsung Galaxy Z Flip4
Geekbench AI Score
257
Single Precision Score
259
Half Precision Score
605
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 16 2026 07:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
149
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (Q)
|
99% |
397
74.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
429
6.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1036
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
87% |
432
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.70 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (Q)
|
97% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
342
2.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
826
7.50 IPS |
|
|
Style Transfer (SP)
|
100% |
602
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
604
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1602
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.5 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.5 IPS |
|
|
Text Classification (Q)
|
91% |
392
526.6 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
