iPhone 16 Pro Max
Geekbench AI Score
4641
Single Precision Score
8065
Half Precision Score
6467
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:42 AM |
| Views | 7 |
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% |
1949
362.4 IPS |
|
|
Image Classification (HP)
|
100% |
3475
646.2 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7173
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16853
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14864
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
97% |
3694
294.0 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7472
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13743
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9603
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20230
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37490
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30769
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
186.8 IPS |
|
|
Text Classification (SP)
|
99% |
6961
9.29 KIPS |
|
|
Text Classification (HP)
|
99% |
10819
14.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10285
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6999
120.9 IPS |
