Samsung SM-X700
Geekbench AI Score
3991
Single Precision Score
4008
Half Precision Score
5420
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 08:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung SM-X700 |
| Model ID | Samsung SM-X700 |
| Motherboard | SM-X700 |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 1 part 1 revision 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores @ 3.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2629
489.0 IPS |
|
|
Image Classification (HP)
|
100% |
2709
503.7 IPS |
|
|
Image Classification (Q)
|
100% |
4667
867.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3340
54.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5667
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7926
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
8313
9.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
12948
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
2414
192.1 IPS |
|
|
Object Detection (HP)
|
98% |
2472
196.7 IPS |
|
|
Object Detection (Q)
|
83% |
4001
323.2 IPS |
|
|
Face Detection (SP)
|
100% |
6004
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (Q)
|
95% |
11510
137.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
5713
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5687
43.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11255
103.1 IPS |
|
|
Style Transfer (SP)
|
89% |
16565
21.5 IPS |
|
|
Style Transfer (HP)
|
89% |
16568
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26872
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3507
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6464
239.5 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
99% |
1569
2.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1161
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1857
32.0 IPS |
|
|
Machine Translation (Q)
|
50% |
612
21.7 IPS |
