iPhone 16 Pro
Geekbench AI Score
6098
Single Precision Score
7063
Half Precision Score
6858
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | August 24 2025 05:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2949
548.4 IPS |
|
|
Image Classification (HP)
|
100% |
2785
517.9 IPS |
|
|
Image Classification (Q)
|
96% |
3094
577.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4481
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4914
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15523
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16969
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16804
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
3412
270.6 IPS |
|
|
Object Detection (Q)
|
92% |
3097
247.2 IPS |
|
|
Face Detection (SP)
|
100% |
7758
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
10703
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
8629
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13245
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14774
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14232
111.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33032
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38303
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38895
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7983
294.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8224
303.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7577
279.8 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6109
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1372
23.7 IPS |
