iPhone 16 Pro Max
Geekbench AI Score
4690
Single Precision Score
8085
Half Precision Score
6523
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:25 AM |
| Views | 3 |
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% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
3437
639.2 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7533
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17114
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15144
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
97% |
3727
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2613
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
3875
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
6903
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4028
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7451
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13710
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9505
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20291
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37224
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30533
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7164
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
99% |
6969
9.30 KIPS |
|
|
Text Classification (HP)
|
100% |
10566
14.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10764
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7122
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
