iPhone 16 Pro
Geekbench AI Score
4593
Single Precision Score
7795
Half Precision Score
6167
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 1Dnepr |
| Upload Date | April 06 2025 05:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.5 IPS |
|
|
Image Classification (Q)
|
96% |
2290
427.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8973
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17759
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14855
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3736
297.5 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3914
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7534
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7953
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14059
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9663
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20029
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37311
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30061
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7336
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7452
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7413
128.1 IPS |
