iPhone 14 Pro
Geekbench AI Score
3549
Single Precision Score
6107
Half Precision Score
4947
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
2511
467.0 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6985
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12975
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2080
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6070
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6267
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12219
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8256
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18880
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28944
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23738
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4966
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4621
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4724
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5900
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5836
100.9 IPS |
