iPhone 14 Pro
Geekbench AI Score
3178
Single Precision Score
3308
Half Precision Score
3065
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Lucky_n00b |
| Upload Date | August 16 2024 06:31 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (Q)
|
99% |
1595
297.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2489
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11595
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12242
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11018
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (HP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (Q)
|
92% |
1507
120.3 IPS |
|
|
Face Detection (SP)
|
100% |
5196
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
5815
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3867
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8856
68.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
8871
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20979
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23300
30.0 IPS |
|
|
Style Transfer (Q)
|
100% |
23396
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4578
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3678
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
365
486.7 IPS |
|
|
Text Classification (HP)
|
100% |
365
486.9 IPS |
|
|
Text Classification (Q)
|
93% |
255
341.8 IPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1475
25.5 IPS |
