iPhone 6s
Geekbench ML Score
397
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 16 2025 04:57 AM |
| Views | 7 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
474
50.8 IPS |
|
|
Image Classification (F16)
|
100% |
657
70.4 IPS |
|
|
Image Classification (I8)
|
81% |
95
10.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1163
7.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
1889
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
181
1.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
855
3.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
34
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
602
21.1 IPS |
|
|
Object Detection (F16)
|
100% |
747
26.2 IPS |
|
|
Object Detection (I8)
|
52% |
136
4.79 IPS |
|
|
Face Detection (F32)
|
100% |
1115
12.8 IPS |
|
|
Face Detection (F16)
|
97% |
1943
22.3 IPS |
|
|
Face Detection (I8)
|
75% |
135
1.56 IPS |
|
|
Text Classification (F32)
|
100% |
414
163.9 IPS |
|
|
Text Classification (F16)
|
98% |
384
151.9 IPS |
|
|
Machine Translation (F32)
|
100% |
239
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
237
36.6 IPS |
