iPhone 14 Pro
Geekbench AI Score
3468
Single Precision Score
6205
Half Precision Score
5009
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | May 31 2025 06:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
2557
475.5 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6481
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14946
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12456
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
97% |
2925
232.9 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5794
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3325
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5893
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11512
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8023
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17742
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29567
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24535
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3916
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4895
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6666
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6656
115.0 IPS |
