Samsung Galaxy Z Fold4
Geekbench AI Score
1413
Single Precision Score
1402
Half Precision Score
1990
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | berkctezc |
| Upload Date | March 07 2025 12:25 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold4 |
| Model ID | samsung SM-F936B |
| 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 | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (Q)
|
100% |
2160
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2321
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1887
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
3586
4.25 IPS |
|
|
Object Detection (SP)
|
98% |
871
69.3 IPS |
|
|
Object Detection (HP)
|
98% |
898
71.4 IPS |
|
|
Object Detection (Q)
|
83% |
1307
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (Q)
|
95% |
2959
35.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2231
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2207
17.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2510
23.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3978
5.16 IPS |
|
|
Style Transfer (HP)
|
89% |
4229
5.49 IPS |
|
|
Style Transfer (Q)
|
98% |
7807
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1801
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
443
590.9 IPS |
|
|
Text Classification (HP)
|
99% |
442
589.7 IPS |
|
|
Text Classification (Q)
|
88% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
