Samsung Galaxy Z Flip3
Geekbench AI Score
681
Single Precision Score
701
Half Precision Score
1173
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 12:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip3 |
| Model ID | samsung SM-F711U1 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
349
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
100% |
1026
190.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1176
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1713
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
2256
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
83% |
945
76.3 IPS |
|
|
Face Detection (SP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2245
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1195
9.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
1233
9.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1605
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2168
2.81 IPS |
|
|
Style Transfer (HP)
|
89% |
2169
2.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4029
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.7 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.5 IPS |
|
|
Text Classification (Q)
|
88% |
466
629.1 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.38 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
50% |
291
10.3 IPS |
