iPhone 6s
Geekbench ML Score
277
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 26 2024 05:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.2 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71AP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.85 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
205
22.0 IPS |
|
|
Image Classification (F16)
|
100% |
174
18.7 IPS |
|
|
Image Classification (I8)
|
81% |
292
31.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
341
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
621
3.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
105
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
301
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
282
9.91 IPS |
|
|
Object Detection (I8)
|
52% |
387
13.6 IPS |
|
|
Face Detection (F32)
|
100% |
342
3.93 IPS |
|
|
Face Detection (F16)
|
100% |
358
4.12 IPS |
|
|
Face Detection (I8)
|
75% |
368
4.23 IPS |
|
|
Text Classification (F32)
|
100% |
359
142.1 IPS |
|
|
Text Classification (F16)
|
100% |
339
134.1 IPS |
|
|
Machine Translation (F32)
|
100% |
359
55.3 IPS |
|
|
Machine Translation (F16)
|
100% |
401
61.9 IPS |
