iPhone 16 Pro Max
Geekbench AI Score
4628
Single Precision Score
8076
Half Precision Score
6456
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:48 AM |
| Views | 4 |
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% |
1967
365.8 IPS |
|
|
Image Classification (HP)
|
100% |
3472
645.6 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7246
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
16462
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14680
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2585
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
6948
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4056
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7441
57.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13641
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9568
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19566
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37172
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30615
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4700
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
99% |
7030
9.38 KIPS |
|
|
Text Classification (HP)
|
100% |
10983
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10479
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7051
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7090
122.5 IPS |
