iPhone 14 Pro
Geekbench AI Score
3438
Single Precision Score
6016
Half Precision Score
4870
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:06 AM |
| Views | 4 |
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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
1746
326.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2612
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6396
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
14353
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12169
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
97% |
2877
229.0 IPS |
|
|
Object Detection (Q)
|
94% |
2022
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3481
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6095
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12062
93.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8248
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18500
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28159
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23640
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4167
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4676
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4603
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5837
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5848
101.1 IPS |
