iPhone 6s
Geekbench ML Score
300
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 11 2024 12:06 AM |
| Views | 1 |
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% |
362
38.8 IPS |
|
|
Image Classification (F16)
|
100% |
644
69.0 IPS |
|
|
Image Classification (I8)
|
81% |
84
9.04 IPS |
|
|
Image Segmentation (F32)
|
100% |
566
3.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
974
6.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
161
0.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
594
2.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
30
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
363
12.7 IPS |
|
|
Object Detection (F16)
|
100% |
726
25.5 IPS |
|
|
Object Detection (I8)
|
52% |
121
4.23 IPS |
|
|
Face Detection (F32)
|
100% |
566
6.50 IPS |
|
|
Face Detection (F16)
|
97% |
982
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
121
1.39 IPS |
|
|
Text Classification (F32)
|
100% |
399
158.0 IPS |
|
|
Text Classification (F16)
|
98% |
419
165.7 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
208
32.0 IPS |
