iPhone 16 Pro
Geekbench AI Score
6091
Single Precision Score
7042
Half Precision Score
6826
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Ayleen |
| Upload Date | June 19 2025 10:33 PM |
| Views | 10 |
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% |
3054
567.9 IPS |
|
|
Image Classification (HP)
|
100% |
2855
531.0 IPS |
|
|
Image Classification (Q)
|
96% |
3122
583.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4429
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4924
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4735
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15696
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16908
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16946
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3395
269.3 IPS |
|
|
Object Detection (Q)
|
92% |
3142
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
7484
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
10793
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
8610
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13406
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14428
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13903
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33113
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38398
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38456
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8011
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8310
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7669
283.2 IPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6043
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1308
22.6 IPS |
