iPhone 14 Pro
Geekbench AI Score
4210
Single Precision Score
4584
Half Precision Score
4281
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | HeyJude5 |
| Upload Date | August 21 2025 10:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.6 IPS |
|
|
Image Classification (Q)
|
96% |
1593
297.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2816
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11789
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12842
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (Q)
|
92% |
1747
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
5629
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
5117
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8677
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9096
70.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8334
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21302
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23941
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23723
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4907
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5029
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4395
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4713
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1010
17.5 IPS |
