iPhone 14 Pro
Geekbench AI Score
3412
Single Precision Score
6045
Half Precision Score
4940
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 02:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.3 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15120
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13107
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2838
226.0 IPS |
|
|
Object Detection (Q)
|
94% |
2007
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5322
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3196
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5585
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10865
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7467
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18211
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29440
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24278
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3896
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3830
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4922
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6601
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6532
112.9 IPS |
