iPhone 14 Pro
Geekbench AI Score
3424
Single Precision Score
22881
Half Precision Score
25897
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8334
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
11350
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16020
259.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17654
286.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6520
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
98094
114.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104504
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
12358
980.3 IPS |
|
|
Object Detection (Q)
|
91% |
13708
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
30435
361.6 IPS |
|
|
Face Detection (Q)
|
100% |
37381
444.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71733
552.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
92296
721.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18397
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
172822
222.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171365
221.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32750
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35538
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (Q)
|
93% |
2667
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7124
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8438
145.8 IPS |
