samsung SM-W9023
Geekbench AI Score
1853
Single Precision Score
1826
Half Precision Score
2862
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 03 2025 09:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1551
288.4 IPS |
|
|
Image Classification (HP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (Q)
|
100% |
2381
442.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2614
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2435
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5382
6.38 IPS |
|
|
Object Detection (SP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (HP)
|
98% |
1380
109.8 IPS |
|
|
Object Detection (Q)
|
83% |
2051
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (Q)
|
95% |
4567
54.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2732
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2716
21.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4619
42.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5997
7.78 IPS |
|
|
Style Transfer (HP)
|
89% |
5780
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
11888
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1369
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2881
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
635
847.9 IPS |
|
|
Text Classification (HP)
|
99% |
653
872.1 IPS |
|
|
Text Classification (Q)
|
88% |
1193
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
624
22.2 IPS |
