samsung SM-S936B
Geekbench AI Score
545
Single Precision Score
26728
Half Precision Score
59538
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 04:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936B |
| Model ID | samsung SM-S936B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (HP)
|
100% |
21055
3.92 KIPS |
|
|
Image Classification (Q)
|
97% |
49326
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
13671
221.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42310
688.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
123658
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
476866
558.1 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
18190
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
21093
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
652
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
38432
456.7 IPS |
|
|
Face Detection (Q)
|
97% |
124434
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
80277
618.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
135187
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
1318
1.69 IPS |
|
|
Style Transfer (HP)
|
98% |
98401
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
490787
632.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53823
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134473
4.98 KIPS |
|
|
Text Classification (SP)
|
100% |
461
614.7 IPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7942
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3024
77.9 IPS |
