Spectralink Versity 9740
Geekbench AI Score
206
Single Precision Score
206
Half Precision Score
7557
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Spectralink Versity 9740 |
| Model ID | Spectralink Versity 9740 |
| Motherboard | x1 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
99% |
6058
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
6194
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
52055
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.59 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.62 IPS |
|
|
Object Detection (Q)
|
88% |
3157
252.9 IPS |
|
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.63 IPS |
|
|
Face Detection (Q)
|
97% |
20688
246.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
264
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
265
2.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
20153
185.5 IPS |
|
|
Style Transfer (SP)
|
100% |
453
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
452
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
78449
101.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
20778
769.9 IPS |
|
|
Text Classification (SP)
|
100% |
186
247.9 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.3 IPS |
|
|
Text Classification (Q)
|
94% |
1686
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
37% |
86
8.63 IPS |
