iPhone 14 Pro
Geekbench AI Score
3410
Single Precision Score
6234
Half Precision Score
5109
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | djoleek |
| Upload Date | November 05 2025 01:58 AM |
| Views | 5 |
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% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
2615
486.3 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
15490
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13184
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2963
235.9 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5836
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11609
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8081
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18584
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29115
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24221
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3887
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4729
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7075
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7141
123.4 IPS |
