iPhone 16 Pro
Geekbench AI Score
6076
Single Precision Score
7164
Half Precision Score
6802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3008
559.4 IPS |
|
|
Image Classification (HP)
|
100% |
2756
512.4 IPS |
|
|
Image Classification (Q)
|
96% |
3191
595.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4370
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4723
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15142
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17890
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17131
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3132
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (Q)
|
92% |
3213
256.5 IPS |
|
|
Face Detection (SP)
|
100% |
7469
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
10574
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
8301
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13154
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15055
116.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14354
112.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31374
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39336
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38841
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7423
274.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8273
305.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7083
261.5 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6093
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.1 IPS |
