iPhone 16 Pro
Geekbench AI Score
4659
Single Precision Score
7820
Half Precision Score
6258
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.5 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3329
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9382
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18617
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15662
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7582
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4198
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8172
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13216
102.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9833
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20157
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37497
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30838
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7318
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5164
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6048
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5924
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4303
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7422
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7460
128.9 IPS |
