iPhone 14 Pro
Geekbench AI Score
2575
Single Precision Score
17885
Half Precision Score
19062
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 06:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
7933
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
10876
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15329
248.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17179
278.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5928
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
99826
116.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101111
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
12307
976.2 IPS |
|
|
Object Detection (Q)
|
91% |
13700
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
30775
365.7 IPS |
|
|
Face Detection (Q)
|
100% |
39003
463.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65725
506.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
45513
355.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9258
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
98289
126.4 IPS |
|
|
Style Transfer (Q)
|
96% |
97241
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17735
654.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19847
732.8 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1637
2.18 KIPS |
|
|
Text Classification (Q)
|
93% |
1663
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4297
74.3 IPS |
