samsung SM-W9023
Geekbench AI Score
284
Single Precision Score
11250
Half Precision Score
30023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 03 2025 09:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
8602
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
24946
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
6777
109.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19402
315.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
36490
42.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
227092
266.3 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
7927
628.7 IPS |
|
|
Object Detection (Q)
|
88% |
12321
987.1 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (HP)
|
100% |
18453
219.3 IPS |
|
|
Face Detection (Q)
|
97% |
71078
847.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
28320
218.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
66876
615.7 IPS |
|
|
Style Transfer (SP)
|
100% |
620
0.80 IPS |
|
|
Style Transfer (HP)
|
98% |
40450
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
227330
293.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21824
805.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
73224
2.71 KIPS |
|
|
Text Classification (SP)
|
100% |
217
289.0 IPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
94% |
4454
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (Q)
|
50% |
1247
43.2 IPS |
