iPhone 16 Pro Max
Geekbench AI Score
4637
Single Precision Score
7962
Half Precision Score
6425
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 10:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.9 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7268
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16489
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14173
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
97% |
3652
290.7 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3947
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7384
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13484
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9425
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19510
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36324
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29989
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
99% |
7090
9.46 KIPS |
|
|
Text Classification (HP)
|
100% |
10563
14.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10941
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
3971
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6913
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
