iPhone 14 Pro
Geekbench AI Score
3518
Single Precision Score
6053
Half Precision Score
4920
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 04:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
2543
473.0 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2705
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15149
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12723
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6091
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6056
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12144
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8233
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18855
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28160
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23617
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3652
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4550
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4610
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5934
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5915
102.2 IPS |
