iPhone 14 Pro
Geekbench AI Score
3439
Single Precision Score
23579
Half Precision Score
26804
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 02:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1435
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
10256
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
11931
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15356
248.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19097
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
98644
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105201
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
100% |
13160
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14682
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
31379
372.8 IPS |
|
|
Face Detection (Q)
|
100% |
40656
483.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5955
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75318
580.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
96117
751.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17933
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
166314
213.8 IPS |
|
|
Style Transfer (Q)
|
96% |
182328
235.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32220
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38754
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2650
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2354
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7742
133.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8369
144.6 IPS |
