iPhone 16 Pro Max
Geekbench AI Score
6008
Single Precision Score
7143
Half Precision Score
6795
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:22 AM |
| Views | 6 |
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% |
2887
536.9 IPS |
|
|
Image Classification (HP)
|
100% |
2596
482.8 IPS |
|
|
Image Classification (Q)
|
94% |
3061
572.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4917
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4747
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14880
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17882
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17426
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (HP)
|
100% |
3531
280.1 IPS |
|
|
Object Detection (Q)
|
90% |
3511
280.7 IPS |
|
|
Face Detection (SP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
11256
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
8589
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13302
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15955
122.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13884
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31361
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40109
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39326
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7878
290.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6936
256.1 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6112
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6239
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1164
20.1 IPS |
