iPhone 14 Pro
Geekbench AI Score
3898
Single Precision Score
4247
Half Precision Score
3756
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 08:58 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% |
1632
303.6 IPS |
|
|
Image Classification (HP)
|
100% |
1468
273.0 IPS |
|
|
Image Classification (Q)
|
97% |
1517
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2534
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11677
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12415
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11382
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (Q)
|
91% |
1534
122.6 IPS |
|
|
Face Detection (SP)
|
100% |
5510
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
6492
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
4171
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8763
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9030
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7364
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21026
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23264
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21886
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3794
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4222
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4197
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
779
13.5 IPS |
