samsung SM-F956Q
Geekbench AI Score
360
Single Precision Score
15738
Half Precision Score
37971
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 11:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956Q |
| Model ID | samsung SM-F956Q |
| 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
17378
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
43196
8.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
11041
179.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
29328
476.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
401
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
99488
116.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
394326
461.5 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
15127
1.20 KIPS |
|
|
Object Detection (Q)
|
86% |
18088
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
32347
384.4 IPS |
|
|
Face Detection (Q)
|
97% |
108329
1.29 KIPS |
|
|
Depth Estimation (SP)
|
100% |
414
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
58034
447.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
112151
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
24% |
3839
116.1 IPS |
|
|
Style Transfer (Q)
|
98% |
303256
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44155
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105274
3.90 KIPS |
|
|
Text Classification (SP)
|
100% |
288
383.8 IPS |
|
|
Text Classification (HP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6709
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (Q)
|
30% |
265
53.3 IPS |
