iPhone 14 Pro
Geekbench AI Score
3393
Single Precision Score
5675
Half Precision Score
4730
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
2516
467.9 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2620
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14585
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12434
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6048
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3462
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5943
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11962
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8149
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18232
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27681
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23318
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3678
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3623
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2952
50.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4278
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5024
86.8 IPS |
