iPhone 14 Pro
Geekbench AI Score
4116
Single Precision Score
4533
Half Precision Score
4267
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:52 AM |
| Views | 7 |
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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (Q)
|
96% |
1681
313.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2804
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11709
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12458
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11809
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (Q)
|
92% |
1739
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
5548
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
6354
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
5199
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8778
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9092
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8371
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20986
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23467
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22682
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4113
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4769
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1069
18.5 IPS |
