iPhone 14 Pro
Geekbench AI Score
3842
Single Precision Score
4173
Half Precision Score
3785
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 26 2025 03:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1431
266.1 IPS |
|
|
Image Classification (HP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (Q)
|
97% |
1494
278.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2517
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11705
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12346
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11426
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (Q)
|
91% |
1569
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
5302
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
6050
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8841
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21271
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23798
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22057
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3800
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
2631
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4612
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
794
13.7 IPS |
