samsung SM-S928B
Geekbench AI Score
314
Single Precision Score
304
Half Precision Score
365
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 09:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928B |
| Model ID | samsung SM-S928B |
| Motherboard | taro |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
175
32.6 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (Q)
|
100% |
316
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
397
6.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
641
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
505
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.97 IPS |
|
|
Object Detection (Q)
|
83% |
224
18.1 IPS |
|
|
Face Detection (SP)
|
100% |
389
4.63 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (Q)
|
95% |
537
6.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
549
4.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
524
4.80 IPS |
|
|
Style Transfer (SP)
|
89% |
1095
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1101
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1313
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
293
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.4 IPS |
|
|
Text Classification (HP)
|
100% |
145
194.0 IPS |
|
|
Text Classification (Q)
|
88% |
212
286.2 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
131
4.64 IPS |
