iPhone 6s
Geekbench ML Score
431
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 30 2025 12:46 AM |
| Views | 8 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
476
51.0 IPS |
|
|
Image Classification (F16)
|
100% |
654
70.1 IPS |
|
|
Image Classification (I8)
|
81% |
105
11.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1159
7.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
1883
11.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
213
1.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
858
3.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
41
0.17 IPS |
|
|
Object Detection (F32)
|
100% |
654
23.0 IPS |
|
|
Object Detection (F16)
|
100% |
782
27.5 IPS |
|
|
Object Detection (I8)
|
52% |
171
6.02 IPS |
|
|
Face Detection (F32)
|
100% |
1117
12.8 IPS |
|
|
Face Detection (F16)
|
97% |
1955
22.5 IPS |
|
|
Face Detection (I8)
|
75% |
170
1.95 IPS |
|
|
Text Classification (F32)
|
100% |
405
160.2 IPS |
|
|
Text Classification (F16)
|
98% |
471
186.5 IPS |
|
|
Machine Translation (F32)
|
100% |
277
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
284
43.7 IPS |
