iPhone 6s
Geekbench ML Score
225
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 17 2025 08:33 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
127
13.6 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.4 IPS |
|
|
Image Classification (I8)
|
81% |
229
24.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
270
1.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
270
1.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
429
2.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
88
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
83
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
243
8.53 IPS |
|
|
Object Detection (F16)
|
100% |
242
8.48 IPS |
|
|
Object Detection (I8)
|
52% |
322
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
318
3.65 IPS |
|
|
Face Detection (F16)
|
100% |
324
3.73 IPS |
|
|
Face Detection (I8)
|
75% |
325
3.74 IPS |
|
|
Text Classification (F32)
|
100% |
343
135.8 IPS |
|
|
Text Classification (F16)
|
100% |
338
133.7 IPS |
|
|
Machine Translation (F32)
|
100% |
302
46.5 IPS |
|
|
Machine Translation (F16)
|
100% |
301
46.5 IPS |
