iPhone 14 Pro
Geekbench ML Score
3536
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2024 07:16 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1448
271.0 IPS |
|
|
Image Classification (F16)
|
100% |
1866
349.2 IPS |
|
|
Image Classification (I8)
|
99% |
1867
349.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
802
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5969
7.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
14204
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14108
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1458
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1985
148.2 IPS |
|
|
Object Detection (I8)
|
97% |
1457
108.8 IPS |
|
|
Face Detection (F32)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
4371
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4409
52.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5429
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8678
67.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8679
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17373
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26546
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26346
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4037
144.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5271
188.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4965
177.3 IPS |
|
|
Text Classification (F32)
|
100% |
2365
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3962
5.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3935
5.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1489
27.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1184
21.8 IPS |
