iPhone 16 Pro
Geekbench AI Score
6158
Single Precision Score
7020
Half Precision Score
6771
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | May 26 2025 02:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3055
568.1 IPS |
|
|
Image Classification (HP)
|
100% |
2705
503.1 IPS |
|
|
Image Classification (Q)
|
96% |
3131
584.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4424
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4925
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4740
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15559
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16926
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16775
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3151
249.9 IPS |
|
|
Object Detection (HP)
|
100% |
3420
271.3 IPS |
|
|
Object Detection (Q)
|
92% |
3148
251.3 IPS |
|
|
Face Detection (SP)
|
100% |
7711
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10642
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
8573
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13482
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14773
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13870
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32725
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38595
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38884
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8074
298.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8194
302.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7477
276.1 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1277
22.1 IPS |
