iPhone 14 Pro
Geekbench AI Score
3383
Single Precision Score
6274
Half Precision Score
5119
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 02:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
2506
466.0 IPS |
|
|
Image Classification (Q)
|
96% |
1823
340.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
15449
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13076
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2964
236.0 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6114
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11643
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8114
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18302
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29037
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24262
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5303
195.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3938
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4898
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7021
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
