samsung SM-F966Z
Geekbench AI Score
506
Single Precision Score
26979
Half Precision Score
59943
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | notakaos |
| Upload Date | August 05 2025 06:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966Z |
| Model ID | samsung SM-F966Z |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
21207
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
49631
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
13462
218.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
40951
665.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
123644
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
475104
556.1 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
18461
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
21814
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
40450
480.6 IPS |
|
|
Face Detection (Q)
|
97% |
135488
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
643
4.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
83239
641.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
141766
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1076
1.38 IPS |
|
|
Style Transfer (HP)
|
98% |
98678
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
490083
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53736
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
131848
4.89 KIPS |
|
|
Text Classification (SP)
|
100% |
363
485.0 IPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7967
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4517
77.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2876
74.1 IPS |
