samsung SM-S938B
Geekbench AI Score
427
Single Precision Score
26136
Half Precision Score
58164
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | riussi |
| Upload Date | February 04 2025 02:01 PM |
| Views | 8 |
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% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
20294
3.77 KIPS |
|
|
Image Classification (Q)
|
97% |
49065
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
13409
217.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
41069
667.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
121638
141.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
477037
558.3 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
18162
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
21058
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
570
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
38315
455.3 IPS |
|
|
Face Detection (Q)
|
97% |
124482
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
80154
617.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
134621
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
904
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
98278
126.7 IPS |
|
|
Style Transfer (Q)
|
98% |
488099
629.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51883
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125156
4.64 KIPS |
|
|
Text Classification (SP)
|
100% |
316
422.3 IPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7806
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2740
70.6 IPS |
