samsung SM-G990B2
Geekbench AI Score
226
Single Precision Score
224
Half Precision Score
12620
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 10:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-G990B2 |
| Model ID | samsung SM-G990B2 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
99% |
12862
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
12378
201.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
235
0.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
91517
107.3 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.99 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (Q)
|
88% |
5473
438.4 IPS |
|
|
Face Detection (SP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (Q)
|
97% |
27061
322.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
33182
305.5 IPS |
|
|
Style Transfer (SP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
101271
130.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
142
5.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30824
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
193
258.2 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.1 IPS |
|
|
Text Classification (Q)
|
94% |
2153
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
37% |
213
21.5 IPS |
