iPhone 16 Pro
Geekbench AI Score
6040
Single Precision Score
7316
Half Precision Score
6941
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3032
563.9 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.4 IPS |
|
|
Image Classification (Q)
|
96% |
3055
570.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4430
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4999
81.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4827
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15258
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18470
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17531
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3179
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
3675
291.5 IPS |
|
|
Object Detection (Q)
|
92% |
3501
279.4 IPS |
|
|
Face Detection (SP)
|
100% |
7256
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
10735
127.6 IPS |
|
|
Face Detection (Q)
|
100% |
8494
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13013
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15463
119.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14070
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31459
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39713
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39975
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7410
273.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8337
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7195
265.7 IPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6194
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1347
23.3 IPS |
