iPhone 16 Pro Max
Geekbench AI Score
4576
Single Precision Score
7666
Half Precision Score
6174
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 12:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9041
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17685
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15073
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3719
296.1 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6969
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
4085
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13801
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9664
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22294
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36799
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30625
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6097
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6275
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4093
70.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7294
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7173
124.0 IPS |
