iPhone 14 Pro
Geekbench ML Score
2389
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 08:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1081
202.4 IPS |
|
|
Image Classification (F16)
|
100% |
1091
204.2 IPS |
|
|
Image Classification (I8)
|
99% |
672
125.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1190
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1206
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1187
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11248
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12214
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12046
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1216
90.8 IPS |
|
|
Object Detection (F16)
|
100% |
1184
88.4 IPS |
|
|
Object Detection (I8)
|
97% |
1104
82.4 IPS |
|
|
Face Detection (F32)
|
100% |
3748
44.6 IPS |
|
|
Face Detection (F16)
|
98% |
4025
47.9 IPS |
|
|
Face Detection (I8)
|
97% |
3998
47.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8013
62.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8490
65.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
8523
66.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21100
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
23823
31.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23693
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3400
121.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3621
129.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3546
126.7 IPS |
|
|
Text Classification (F32)
|
100% |
371
532.8 IPS |
|
|
Text Classification (F16)
|
100% |
358
514.4 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.6 IPS |
|
|
Machine Translation (F32)
|
100% |
486
8.95 IPS |
|
|
Machine Translation (F16)
|
100% |
480
8.83 IPS |
|
|
Machine Translation (I8)
|
99% |
510
9.38 IPS |
