iPhone 6s Plus
Geekbench ML Score
289
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 09:12 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 6s Plus |
| Model ID | iPhone8,2 |
| Motherboard | N66AP |
| 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 | 1.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
257
27.5 IPS |
|
|
Image Classification (F16)
|
100% |
248
26.6 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
480
2.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
481
2.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
366
2.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
313
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
310
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
503
17.7 IPS |
|
|
Object Detection (F16)
|
100% |
492
17.3 IPS |
|
|
Object Detection (I8)
|
52% |
276
9.67 IPS |
|
|
Face Detection (F32)
|
100% |
717
8.24 IPS |
|
|
Face Detection (F16)
|
100% |
688
7.91 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.10 IPS |
|
|
Text Classification (F32)
|
98% |
80
31.7 IPS |
|
|
Text Classification (F16)
|
98% |
65
25.7 IPS |
|
|
Machine Translation (F32)
|
100% |
428
65.9 IPS |
|
|
Machine Translation (F16)
|
100% |
445
68.6 IPS |
