iPhone 14 Pro
Geekbench AI Score
3425
Single Precision Score
6261
Half Precision Score
5100
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.9 IPS |
|
|
Image Classification (Q)
|
96% |
1789
334.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6566
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15700
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13235
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2105
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6065
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5857
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11637
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8102
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18667
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29137
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24203
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3901
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4732
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7119
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7089
122.5 IPS |
