iPhone 16 Pro Max
Geekbench AI Score
6636
Single Precision Score
7592
Half Precision Score
7310
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
3125
581.1 IPS |
|
|
Image Classification (HP)
|
100% |
3151
586.0 IPS |
|
|
Image Classification (Q)
|
96% |
3194
596.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4174
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4925
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4751
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14894
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18051
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17296
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3217
255.2 IPS |
|
|
Object Detection (HP)
|
100% |
3524
279.5 IPS |
|
|
Object Detection (Q)
|
91% |
3562
284.7 IPS |
|
|
Face Detection (SP)
|
100% |
7250
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
11043
131.2 IPS |
|
|
Face Detection (Q)
|
100% |
10482
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12730
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15221
117.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
14884
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31721
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40481
52.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38447
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7570
279.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8243
304.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7119
262.9 IPS |
|
|
Text Classification (SP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6232
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6069
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3231
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1800
31.1 IPS |
