iPhone 14 Pro
Geekbench AI Score
3433
Single Precision Score
6250
Half Precision Score
5085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2613
485.9 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
15695
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13220
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2957
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6105
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11681
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8225
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18543
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29071
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24199
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5434
200.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4491
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4478
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7005
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7009
121.1 IPS |
