iPhone 16 Pro
Geekbench AI Score
4614
Single Precision Score
7824
Half Precision Score
6227
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:15 AM |
| Views | 2 |
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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.2 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9095
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18085
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15151
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3915
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7471
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4164
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8047
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14245
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9910
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20180
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37256
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30582
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5273
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6076
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7312
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7356
127.1 IPS |
