iPhone 14 Pro
Geekbench ML Score
5180
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 08:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1296
242.6 IPS |
|
|
Image Classification (F16)
|
100% |
5384
1.01 KIPS |
|
|
Image Classification (I8)
|
99% |
5971
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1239
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1685
28.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1704
28.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10935
13.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
78707
95.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
79869
96.7 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
3858
288.1 IPS |
|
|
Object Detection (I8)
|
97% |
1423
106.2 IPS |
|
|
Face Detection (F32)
|
100% |
5187
61.7 IPS |
|
|
Face Detection (F16)
|
97% |
10611
126.2 IPS |
|
|
Face Detection (I8)
|
96% |
10673
126.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8491
65.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
36326
281.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
38624
299.5 IPS |
|
|
Style Transfer (F32)
|
100% |
19467
25.6 IPS |
|
|
Style Transfer (F16)
|
100% |
116914
153.8 IPS |
|
|
Style Transfer (I8)
|
100% |
116197
152.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4186
149.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15698
560.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16755
598.4 IPS |
|
|
Text Classification (F32)
|
100% |
377
542.3 IPS |
|
|
Text Classification (F16)
|
100% |
381
547.4 IPS |
|
|
Text Classification (I8)
|
96% |
292
419.9 IPS |
|
|
Machine Translation (F32)
|
100% |
612
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1102
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
583
10.7 IPS |
