iPhone 14 Pro
Geekbench AI Score
3582
Single Precision Score
22131
Half Precision Score
25575
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | metadex |
| Upload Date | January 24 2025 08:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
9611
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
12475
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13500
218.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18523
300.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7089
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
100774
117.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101541
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
12921
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14400
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
30644
364.1 IPS |
|
|
Face Detection (Q)
|
100% |
38464
457.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6258
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74855
576.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96112
751.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18893
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
171444
220.4 IPS |
|
|
Style Transfer (Q)
|
96% |
175544
226.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32148
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37413
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2345
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5866
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6225
107.6 IPS |
