iPhone 14 Pro
Geekbench AI Score
4163
Single Precision Score
4619
Half Precision Score
4356
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
1579
293.7 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2844
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11707
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12942
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12456
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
1967
156.1 IPS |
|
|
Object Detection (Q)
|
92% |
1726
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
5572
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
6483
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
5236
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9320
71.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8126
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21134
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23890
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23601
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4381
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4832
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1155
20.0 IPS |
