iPhone 14 Pro
Geekbench ML Score
3479
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 08:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1212
226.9 IPS |
|
|
Image Classification (F16)
|
100% |
1329
248.7 IPS |
|
|
Image Classification (I8)
|
99% |
1535
287.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1222
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1285
21.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1265
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11183
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
12188
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11974
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1332
99.4 IPS |
|
|
Object Detection (F16)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
4938
58.7 IPS |
|
|
Face Detection (F16)
|
98% |
5628
66.9 IPS |
|
|
Face Detection (I8)
|
97% |
5806
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8609
66.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9097
70.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8551
66.3 IPS |
|
|
Style Transfer (F32)
|
100% |
19780
26.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23658
31.1 IPS |
|
|
Style Transfer (I8)
|
100% |
23694
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4238
151.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4387
156.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5104
182.3 IPS |
|
|
Text Classification (F32)
|
100% |
2441
3.51 KIPS |
|
|
Text Classification (F16)
|
100% |
4189
6.02 KIPS |
|
|
Text Classification (I8)
|
96% |
4154
5.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
550
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
550
10.1 IPS |
|
|
Machine Translation (I8)
|
99% |
555
10.2 IPS |
