iPhone 6s
Geekbench ML Score
318
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 18 2025 10:58 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
204
21.8 IPS |
|
|
Image Classification (F16)
|
100% |
205
21.9 IPS |
|
|
Image Classification (I8)
|
81% |
345
37.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
396
2.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
396
2.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
643
3.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
127
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
115
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
119
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
344
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
335
11.8 IPS |
|
|
Object Detection (I8)
|
52% |
467
16.4 IPS |
|
|
Face Detection (F32)
|
100% |
415
4.76 IPS |
|
|
Face Detection (F16)
|
100% |
402
4.62 IPS |
|
|
Face Detection (I8)
|
75% |
435
4.99 IPS |
|
|
Text Classification (F32)
|
100% |
451
178.4 IPS |
|
|
Text Classification (F16)
|
100% |
462
182.7 IPS |
|
|
Machine Translation (F32)
|
100% |
397
61.2 IPS |
|
|
Machine Translation (F16)
|
100% |
453
69.8 IPS |
