iPhone 14 Pro
Geekbench AI Score
1526
Single Precision Score
11971
Half Precision Score
13231
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Yaros1av0101 |
| Upload Date | September 20 2025 09:23 PM |
| Views | 5 |
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% |
554
103.0 IPS |
|
|
Image Classification (HP)
|
100% |
5996
1.12 KIPS |
|
|
Image Classification (Q)
|
97% |
6386
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8754
141.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10469
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2717
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
43191
50.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44716
52.4 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
6520
517.1 IPS |
|
|
Object Detection (Q)
|
91% |
7392
590.6 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
14326
170.2 IPS |
|
|
Face Detection (Q)
|
100% |
17898
212.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2549
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35933
276.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
42842
335.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7829
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85572
110.0 IPS |
|
|
Style Transfer (Q)
|
96% |
82707
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17034
629.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19150
707.1 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (Q)
|
93% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3809
65.8 IPS |
