iPhone 14 Pro
Geekbench AI Score
4102
Single Precision Score
4552
Half Precision Score
4297
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | djoleek |
| Upload Date | November 05 2025 02:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2800
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11813
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12869
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12502
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (HP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (Q)
|
92% |
1757
140.2 IPS |
|
|
Face Detection (SP)
|
100% |
5214
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
5016
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8636
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9082
70.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8597
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21330
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23578
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4922
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4322
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4789
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
994
17.2 IPS |
