iPhone 14 Pro
Geekbench AI Score
3902
Single Precision Score
4270
Half Precision Score
3789
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
1473
273.9 IPS |
|
|
Image Classification (Q)
|
97% |
1471
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2447
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11697
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12335
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11472
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (Q)
|
91% |
1565
125.1 IPS |
|
|
Face Detection (SP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
5999
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
4120
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8526
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8935
68.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7334
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21135
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23772
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22201
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3797
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4630
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4690
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
792
13.7 IPS |
