iPhone16,1
Geekbench ML Score
2783
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:15 PM |
| Views | 35 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone16,1 |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2914
312.3 IPS |
|
|
Image Classification (F16)
|
100% |
4911
526.1 IPS |
|
|
Image Classification (I8)
|
81% |
836
89.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6091
37.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
9868
61.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1489
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
2490
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
5297
21.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
278
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
3826
134.3 IPS |
|
|
Object Detection (F16)
|
100% |
5035
176.7 IPS |
|
|
Object Detection (I8)
|
52% |
1185
41.6 IPS |
|
|
Face Detection (F32)
|
100% |
6048
69.5 IPS |
|
|
Face Detection (F16)
|
97% |
11087
127.4 IPS |
|
|
Face Detection (I8)
|
75% |
1142
13.1 IPS |
|
|
Text Classification (F32)
|
100% |
2374
938.9 IPS |
|
|
Text Classification (F16)
|
100% |
2122
839.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2832
436.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2862
441.2 IPS |
