iPhone 14 Pro
Geekbench AI Score
3248
Single Precision Score
3653
Half Precision Score
3702
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | antydizajn |
| Upload Date | January 30 2026 12:34 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
721
134.1 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.1 IPS |
|
|
Image Classification (Q)
|
96% |
1076
200.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11833
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12542
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12390
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (Q)
|
92% |
1183
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
4917
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8221
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8771
67.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8374
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20366
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23106
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23427
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3873
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3397
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3350
4.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3328
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1005
17.4 IPS |
