iPhone 16 Pro
Geekbench AI Score
4666
Single Precision Score
7859
Half Precision Score
6244
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | July 23 2025 09:59 AM |
| Views | 6 |
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% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.7 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9428
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18436
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15408
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7577
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4212
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14274
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9772
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20269
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37501
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30559
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5483
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5192
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7479
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7417
128.2 IPS |
