Samsung Z Flip7 samsung SM-F766U
Geekbench AI Score
3896
Single Precision Score
33608
Half Precision Score
50674
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kent_tester |
| Upload Date | August 06 2025 04:30 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766U |
| Model ID | samsung SM-F766U |
| Motherboard | s5e9955 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 5 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.75 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
19604
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
40357
7.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
15696
255.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
36445
593.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17107
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
150872
176.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
339577
397.7 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
18434
1.46 KIPS |
|
|
Object Detection (Q)
|
88% |
23743
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5633
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
23095
274.4 IPS |
|
|
Face Detection (Q)
|
96% |
92925
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
8655
66.7 IPS |
|
|
Depth Estimation (HP)
|
79% |
93439
742.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
147970
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
32629
41.9 IPS |
|
|
Style Transfer (HP)
|
99% |
262474
337.4 IPS |
|
|
Style Transfer (Q)
|
98% |
336584
434.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
98% |
46172
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
45051
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
536
715.1 IPS |
|
|
Text Classification (HP)
|
100% |
9401
12.5 KIPS |
|
|
Text Classification (Q)
|
93% |
9695
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8738
150.5 IPS |
|
|
Machine Translation (Q)
|
48% |
4658
180.1 IPS |
