iPhone 16 Pro
Geekbench AI Score
4489
Single Precision Score
7695
Half Precision Score
6135
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 11:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3385
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8681
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17902
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15048
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4173
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7577
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13691
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9604
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23513
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36995
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29727
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5406
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4899
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5949
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7072
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
