iPhone 16 Pro Max
Geekbench AI Score
4536
Single Precision Score
7656
Half Precision Score
6133
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
3447
641.0 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17773
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14818
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3670
292.2 IPS |
|
|
Object Detection (Q)
|
94% |
2607
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6866
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4035
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8099
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13751
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9615
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21655
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35721
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29874
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5300
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6319
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4106
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7469
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7293
126.0 IPS |
