iPhone 16 Pro
Geekbench AI Score
4535
Single Precision Score
7770
Half Precision Score
6218
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 12:45 PM |
| Views | 1 |
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% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8843
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18121
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15348
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4246
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7701
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14169
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9835
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23840
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37710
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30717
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5654
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7084
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7093
122.6 IPS |
