iPhone 16 Pro Max
Geekbench AI Score
6477
Single Precision Score
8232
Half Precision Score
7684
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3078
572.4 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
3257
608.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4689
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14837
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17800
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17309
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3480
276.0 IPS |
|
|
Object Detection (Q)
|
91% |
3707
296.2 IPS |
|
|
Face Detection (SP)
|
100% |
7616
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
11299
134.3 IPS |
|
|
Face Detection (Q)
|
100% |
10330
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13381
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15899
122.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14169
110.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31471
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39588
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38983
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7343
271.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7046
260.2 IPS |
|
|
Text Classification (SP)
|
100% |
6952
9.28 KIPS |
|
|
Text Classification (HP)
|
99% |
10804
14.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10308
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1769
30.6 IPS |
