iPhone 14 Pro
Geekbench AI Score
4179
Single Precision Score
4500
Half Precision Score
4274
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:50 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.7 IPS |
|
|
Image Classification (Q)
|
96% |
1642
306.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2793
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11655
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12451
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11919
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
1936
153.5 IPS |
|
|
Object Detection (Q)
|
92% |
1761
140.5 IPS |
|
|
Face Detection (SP)
|
100% |
5495
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
6261
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
5211
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8726
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9177
70.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8315
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20939
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23493
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22823
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4627
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4076
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4642
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4576
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1146
19.8 IPS |
