iPhone 16 Pro Max
Geekbench AI Score
4691
Single Precision Score
8127
Half Precision Score
6514
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
3464
644.2 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7495
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
17287
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14555
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2377
188.5 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
6988
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
4070
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7529
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13765
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9610
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19717
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36788
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30725
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7201
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
99% |
7038
9.39 KIPS |
|
|
Text Classification (HP)
|
99% |
10956
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10812
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7109
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7108
122.8 IPS |
