iPhone 14 Pro
Geekbench AI Score
3546
Single Precision Score
22893
Half Precision Score
25906
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 09:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
8810
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
10670
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15564
252.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19050
308.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6601
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
97659
114.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101850
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
12496
991.2 IPS |
|
|
Object Detection (Q)
|
91% |
14214
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
30250
359.4 IPS |
|
|
Face Detection (Q)
|
100% |
39900
474.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73808
568.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
90203
705.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18297
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168829
217.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171608
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32395
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34726
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2869
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (Q)
|
93% |
2663
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7162
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8103
140.0 IPS |
