iPhone 14 Pro
Geekbench AI Score
3436
Single Precision Score
23011
Half Precision Score
26481
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | barmanracing |
| Upload Date | January 27 2026 07:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
9198
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11579
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15689
254.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18989
307.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
101325
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102656
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
12725
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14413
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
30458
361.9 IPS |
|
|
Face Detection (Q)
|
100% |
39961
474.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5920
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71562
551.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89847
702.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18697
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
160730
206.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171678
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32223
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35703
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (Q)
|
93% |
2871
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7336
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8250
142.6 IPS |
