iPhone 14 Pro
Geekbench AI Score
2785
Single Precision Score
3132
Half Precision Score
2551
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 01:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1122
208.7 IPS |
|
|
Image Classification (HP)
|
100% |
1047
194.7 IPS |
|
|
Image Classification (Q)
|
97% |
870
162.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2199
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11478
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12288
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
7331
8.59 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
1244
98.6 IPS |
|
|
Object Detection (Q)
|
91% |
1085
86.7 IPS |
|
|
Face Detection (SP)
|
100% |
4077
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3734
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7156
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8008
61.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6322
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21042
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23152
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
16212
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3285
121.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2798
103.3 IPS |
|
|
Text Classification (SP)
|
100% |
1230
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2122
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
98% |
338
5.83 IPS |
