Samsung Galaxy Z Fold6
Geekbench AI Score
1959
Single Precision Score
2033
Half Precision Score
2731
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 02:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956U1 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.4 IPS |
|
|
Image Classification (Q)
|
100% |
2228
414.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2999
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2805
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
6970
8.27 IPS |
|
|
Object Detection (SP)
|
98% |
1484
118.1 IPS |
|
|
Object Detection (HP)
|
98% |
1301
103.5 IPS |
|
|
Object Detection (Q)
|
83% |
1943
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
4628
55.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3165
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3085
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4840
44.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7736
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7790
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12851
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2848
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.1 IPS |
|
|
Text Classification (HP)
|
99% |
543
724.7 IPS |
|
|
Text Classification (Q)
|
88% |
579
781.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
538
19.1 IPS |
