iPhone 16 Pro
Geekbench AI Score
6059
Single Precision Score
7184
Half Precision Score
6855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | September 17 2025 01:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2950
548.6 IPS |
|
|
Image Classification (HP)
|
100% |
2869
533.5 IPS |
|
|
Image Classification (Q)
|
96% |
3137
585.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4320
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4925
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4749
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15104
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18194
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17485
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (HP)
|
100% |
3364
266.8 IPS |
|
|
Object Detection (Q)
|
92% |
3464
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
7464
88.7 IPS |
|
|
Face Detection (HP)
|
100% |
10659
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
8420
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13291
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15301
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14083
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31709
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39646
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39130
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7465
275.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8292
306.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7151
264.1 IPS |
|
|
Text Classification (SP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6160
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
