iPhone 14 Pro
Geekbench AI Score
3530
Single Precision Score
23679
Half Precision Score
27057
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:16 PM |
| Views | 2 |
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% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
10558
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12642
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16154
261.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19613
317.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7071
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
104574
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104921
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
100% |
13226
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
14866
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
31281
371.7 IPS |
|
|
Face Detection (Q)
|
100% |
40463
480.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6118
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75469
581.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97911
765.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19007
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
180819
232.4 IPS |
|
|
Style Transfer (Q)
|
96% |
182204
235.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4182
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32116
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37778
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2713
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2364
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7614
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8437
145.8 IPS |
