iPhone 16 Pro
Geekbench AI Score
4696
Single Precision Score
7918
Half Precision Score
6290
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 08:46 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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9544
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18886
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15703
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (HP)
|
97% |
3849
306.4 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7631
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4264
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14500
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10006
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21009
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38090
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31181
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5626
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7457
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7451
128.8 IPS |
