samsung SM-W9023
Geekbench AI Score
1297
Single Precision Score
2161
Half Precision Score
1919
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 03 2025 09:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
970
180.5 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.8 IPS |
|
|
Image Classification (Q)
|
99% |
1287
240.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2435
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6625
7.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
12329
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
12218
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
99% |
796
63.1 IPS |
|
|
Object Detection (Q)
|
85% |
722
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
5189
61.7 IPS |
|
|
Face Detection (Q)
|
97% |
4001
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3267
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5735
44.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
5005
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7323
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
14487
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14514
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2910
107.8 IPS |
|
|
Text Classification (SP)
|
35% |
48
471.7 IPS |
|
|
Text Classification (HP)
|
35% |
62
567.6 IPS |
|
|
Text Classification (Q)
|
35% |
62
560.4 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (HP)
|
97% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
64% |
468
9.62 IPS |
