iPhone 14 Pro
Geekbench AI Score
3309
Single Precision Score
23456
Half Precision Score
27149
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 12:32 PM |
| Views | 3 |
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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
10627
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
13437
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15806
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18882
306.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6193
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
103255
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104129
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
100% |
12345
979.2 IPS |
|
|
Object Detection (Q)
|
91% |
14559
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
32798
389.7 IPS |
|
|
Face Detection (Q)
|
100% |
42015
499.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76165
586.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
99226
775.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16294
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
170207
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
176614
227.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35449
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42726
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7263
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8256
142.7 IPS |
