Samsung Galaxy Z Fold4
Geekbench AI Score
712
Single Precision Score
954
Half Precision Score
958
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:49 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold4 |
| Model ID | samsung SM-F936W |
| 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% |
377
70.2 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (Q)
|
97% |
340
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
1305
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
521
41.4 IPS |
|
|
Object Detection (Q)
|
86% |
506
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
1434
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1139
8.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
2606
20.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
2412
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2917
3.75 IPS |
|
|
Style Transfer (HP)
|
100% |
6480
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6538
8.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
478
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.8 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.0 IPS |
|
|
Text Classification (Q)
|
91% |
554
744.4 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
57% |
440
10.8 IPS |
