iPhone 14 Pro
Geekbench AI Score
3563
Single Precision Score
23991
Half Precision Score
27636
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 02:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
10515
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12624
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14135
229.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19528
316.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6925
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
100726
117.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104202
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
13053
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14298
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
31579
375.2 IPS |
|
|
Face Detection (Q)
|
100% |
40256
478.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6101
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76032
585.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95563
747.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19126
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
178349
229.3 IPS |
|
|
Style Transfer (Q)
|
96% |
181361
234.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4158
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31978
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37580
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3193
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7809
134.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8452
146.1 IPS |
