iPhone 16 Pro
Geekbench AI Score
4682
Single Precision Score
7811
Half Precision Score
6279
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 06:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9219
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16677
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15537
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3884
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7551
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14339
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10000
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20633
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38035
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30980
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5588
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7401
273.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5235
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5945
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5889
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4300
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7464
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7512
129.8 IPS |
