iPhone 6s
Geekbench ML Score
234
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 09 2026 02:01 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.6 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71mAP |
| 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% |
165
17.6 IPS |
|
|
Image Classification (F16)
|
100% |
174
18.6 IPS |
|
|
Image Classification (I8)
|
81% |
268
28.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
310
1.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
299
1.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
460
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
85
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
248
8.69 IPS |
|
|
Object Detection (F16)
|
100% |
256
8.97 IPS |
|
|
Object Detection (I8)
|
52% |
332
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
308
3.53 IPS |
|
|
Face Detection (F16)
|
100% |
307
3.52 IPS |
|
|
Face Detection (I8)
|
75% |
312
3.59 IPS |
|
|
Text Classification (F32)
|
100% |
334
132.3 IPS |
|
|
Text Classification (F16)
|
100% |
332
131.5 IPS |
|
|
Machine Translation (F32)
|
100% |
254
39.1 IPS |
|
|
Machine Translation (F16)
|
100% |
254
39.2 IPS |
