iPhone 14 Pro
Geekbench AI Score
3495
Single Precision Score
23540
Half Precision Score
27916
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 12:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
10404
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12661
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14114
228.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19237
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6520
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
104236
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104898
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12544
995.0 IPS |
|
|
Object Detection (Q)
|
91% |
14543
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
31864
378.6 IPS |
|
|
Face Detection (Q)
|
100% |
41338
491.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5981
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75761
583.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96796
756.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18064
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
178371
229.3 IPS |
|
|
Style Transfer (Q)
|
96% |
176415
227.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32041
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40081
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2595
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3199
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7602
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8548
147.7 IPS |
