samsung SM-W9023
Geekbench AI Score
650
Single Precision Score
3525
Half Precision Score
2667
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 03 2025 09:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-W9023 |
| Model ID | samsung SM-W9023 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
5999
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
13655
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4013
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
36605
42.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
1429
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
3561
282.4 IPS |
|
|
Object Detection (Q)
|
87% |
6270
503.0 IPS |
|
|
Face Detection (SP)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
8791
104.5 IPS |
|
|
Face Detection (Q)
|
21% |
1536
578.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3127
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20658
159.2 IPS |
|
|
Depth Estimation (Q)
|
6% |
307
460.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2086
2.68 IPS |
|
|
Style Transfer (HP)
|
100% |
735
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
6458
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15362
567.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
46814
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
5
6.45 IPS |
|
|
Text Classification (HP)
|
100% |
281
374.4 IPS |
|
|
Text Classification (Q)
|
93% |
617
828.8 IPS |
|
|
Machine Translation (SP)
|
100% |
79
1.37 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (Q)
|
57% |
422
10.3 IPS |
