samsung SM-G990B2
Geekbench AI Score
633
Single Precision Score
676
Half Precision Score
691
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Doom14685 |
| Upload Date | September 15 2024 06:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
97% |
378
70.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
868
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
741
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
395
0.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
391
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
89% |
366
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1543
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1014
7.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.80 IPS |
|
|
Depth Estimation (Q)
|
62% |
1011
9.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2190
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3419
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3332
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.8 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.8 IPS |
|
|
Text Classification (Q)
|
91% |
544
731.7 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (Q)
|
57% |
405
9.89 IPS |
