Samsung Galaxy Z Fold5
Geekbench AI Score
277
Single Precision Score
277
Half Precision Score
637
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 02:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold5 |
| Model ID | samsung SM-F946N |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
97% |
410
76.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
436
7.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1084
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
89% |
450
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
938
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.88 IPS |
|
|
Depth Estimation (HP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (Q)
|
73% |
963
7.88 IPS |
|
|
Style Transfer (SP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1884
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.8 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.5 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.4 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
