samsung SM-X910
Geekbench AI Score
514
Single Precision Score
16766
Half Precision Score
37806
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | StevenATL5 |
| Upload Date | January 07 2025 08:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X910 |
| Model ID | samsung SM-X910 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
13229
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
32380
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
7956
129.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22121
359.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
73202
85.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
295997
346.4 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
12431
986.0 IPS |
|
|
Object Detection (Q)
|
86% |
14107
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (HP)
|
100% |
25928
308.1 IPS |
|
|
Face Detection (Q)
|
97% |
92512
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
45237
348.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
83036
777.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1047
1.35 IPS |
|
|
Style Transfer (HP)
|
98% |
60286
77.7 IPS |
|
|
Style Transfer (Q)
|
98% |
294674
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32805
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82275
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
453
605.2 IPS |
|
|
Text Classification (HP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5691
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1882
49.3 IPS |
