samsung SM-S938B
Geekbench AI Score
414
Single Precision Score
26303
Half Precision Score
58189
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 07:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| 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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
20701
3.85 KIPS |
|
|
Image Classification (Q)
|
97% |
49339
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
13475
218.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
41045
667.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
440
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
122456
142.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
472932
553.5 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
17991
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20580
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (HP)
|
100% |
38461
457.0 IPS |
|
|
Face Detection (Q)
|
97% |
124334
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
80670
621.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
134938
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (HP)
|
98% |
98309
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
487629
628.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51923
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
127047
4.71 KIPS |
|
|
Text Classification (SP)
|
100% |
316
422.1 IPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7745
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2805
72.3 IPS |
