iPhone16,2
Geekbench ML Score
2835
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 02 2023 12:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2931
314.1 IPS |
|
|
Image Classification (F16)
|
100% |
4903
525.3 IPS |
|
|
Image Classification (I8)
|
81% |
836
89.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6203
38.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9865
60.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1544
9.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
2458
9.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
5260
21.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
287
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
3808
133.6 IPS |
|
|
Object Detection (F16)
|
100% |
5474
192.1 IPS |
|
|
Object Detection (I8)
|
52% |
1199
42.1 IPS |
|
|
Face Detection (F32)
|
100% |
5968
68.6 IPS |
|
|
Face Detection (F16)
|
97% |
11020
126.6 IPS |
|
|
Face Detection (I8)
|
75% |
1183
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
2551
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
2358
932.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2836
437.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2853
439.7 IPS |
