iPhone 14 Pro
Geekbench AI Score
3524
Single Precision Score
22811
Half Precision Score
26755
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 02:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
10244
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12985
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14599
236.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18124
293.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6756
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
96290
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102571
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
12866
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14809
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
30322
360.3 IPS |
|
|
Face Detection (Q)
|
100% |
39409
468.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6145
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75213
579.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
97853
765.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18759
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
165199
212.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173091
223.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4180
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32956
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37820
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2536
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7549
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8213
141.9 IPS |
