iPhone 16 Pro
Geekbench AI Score
4627
Single Precision Score
7838
Half Precision Score
6228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:05 AM |
| Views | 13 |
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% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9424
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18585
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15534
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7513
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8105
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14140
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9690
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20380
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37223
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31073
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5467
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5977
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6045
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7310
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7256
125.4 IPS |
