iPhone 14 Pro
Geekbench AI Score
3395
Single Precision Score
22783
Half Precision Score
26090
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 10:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
9500
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
11442
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14285
231.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18609
301.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
97858
114.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102850
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
11890
943.1 IPS |
|
|
Object Detection (Q)
|
91% |
14006
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
30985
368.2 IPS |
|
|
Face Detection (Q)
|
100% |
38187
453.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71919
554.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
91073
712.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18285
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172309
221.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172908
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32801
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36666
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (Q)
|
93% |
2625
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7030
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8233
142.3 IPS |
