iPhone 16 Pro Max
Geekbench AI Score
4696
Single Precision Score
8085
Half Precision Score
6494
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 07:36 AM |
| Views | 5 |
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% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7425
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17446
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15124
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
97% |
3705
295.0 IPS |
|
|
Object Detection (Q)
|
94% |
2600
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
6938
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4063
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7463
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13700
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9602
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19972
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36574
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29834
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4876
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5111
188.7 IPS |
|
|
Text Classification (SP)
|
99% |
7245
9.67 KIPS |
|
|
Text Classification (HP)
|
100% |
10666
14.2 KIPS |
|
|
Text Classification (Q)
|
93% |
10498
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7273
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7175
124.0 IPS |
