iPhone 14 Pro
Geekbench ML Score
5063
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 22 2024 06:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1288
241.0 IPS |
|
|
Image Classification (F16)
|
100% |
5356
1.00 KIPS |
|
|
Image Classification (I8)
|
99% |
5879
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1623
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1683
28.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11434
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
79185
95.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
81507
98.7 IPS |
|
|
Object Detection (F32)
|
100% |
1524
113.8 IPS |
|
|
Object Detection (F16)
|
100% |
3593
268.2 IPS |
|
|
Object Detection (I8)
|
97% |
1360
101.5 IPS |
|
|
Face Detection (F32)
|
100% |
5103
60.7 IPS |
|
|
Face Detection (F16)
|
97% |
10151
120.7 IPS |
|
|
Face Detection (I8)
|
96% |
9985
118.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8857
68.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
34632
268.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
31839
246.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15312
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
113765
149.6 IPS |
|
|
Style Transfer (I8)
|
100% |
119696
157.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5063
180.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17412
621.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16734
597.6 IPS |
|
|
Text Classification (F32)
|
100% |
358
515.0 IPS |
|
|
Text Classification (F16)
|
100% |
357
512.6 IPS |
|
|
Text Classification (I8)
|
96% |
248
356.7 IPS |
|
|
Machine Translation (F32)
|
100% |
594
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
589
10.8 IPS |
