iPhone 14 Pro
Geekbench ML Score
5198
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 02 2024 05:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1067
199.7 IPS |
|
|
Image Classification (F16)
|
100% |
5427
1.02 KIPS |
|
|
Image Classification (I8)
|
99% |
5760
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1222
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1693
28.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1677
28.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11076
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
79465
96.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
81308
98.5 IPS |
|
|
Object Detection (F32)
|
100% |
1427
106.5 IPS |
|
|
Object Detection (F16)
|
100% |
3638
271.6 IPS |
|
|
Object Detection (I8)
|
97% |
1437
107.3 IPS |
|
|
Face Detection (F32)
|
100% |
5178
61.6 IPS |
|
|
Face Detection (F16)
|
97% |
10726
127.5 IPS |
|
|
Face Detection (I8)
|
96% |
10151
120.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8450
65.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
37915
294.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
37896
293.9 IPS |
|
|
Style Transfer (F32)
|
100% |
19651
25.8 IPS |
|
|
Style Transfer (F16)
|
100% |
117081
154.0 IPS |
|
|
Style Transfer (I8)
|
100% |
118127
155.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16792
599.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16231
579.7 IPS |
|
|
Text Classification (F32)
|
100% |
379
544.1 IPS |
|
|
Text Classification (F16)
|
100% |
385
553.1 IPS |
|
|
Text Classification (I8)
|
96% |
401
576.0 IPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
575
10.6 IPS |
