iPhone 6s
Geekbench ML Score
189
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 30 2025 12:42 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
96
10.2 IPS |
|
|
Image Classification (F16)
|
100% |
116
12.4 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
227
1.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
230
1.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
369
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
77
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
76
0.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
69
0.28 IPS |
|
|
Object Detection (F32)
|
100% |
191
6.72 IPS |
|
|
Object Detection (F16)
|
100% |
200
7.01 IPS |
|
|
Object Detection (I8)
|
52% |
266
9.33 IPS |
|
|
Face Detection (F32)
|
100% |
274
3.15 IPS |
|
|
Face Detection (F16)
|
100% |
275
3.15 IPS |
|
|
Face Detection (I8)
|
75% |
278
3.19 IPS |
|
|
Text Classification (F32)
|
100% |
288
113.8 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.9 IPS |
|
|
Machine Translation (F32)
|
100% |
258
39.8 IPS |
|
|
Machine Translation (F16)
|
100% |
258
39.7 IPS |
