iPhone 14 Pro
Geekbench AI Score
3542
Single Precision Score
6192
Half Precision Score
5042
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 09:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1430
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2636
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7027
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15572
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13279
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5987
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3453
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6068
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11588
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8066
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19090
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29665
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24467
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5155
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3879
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6728
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6636
114.7 IPS |
