iPhone 16 Pro Max
Geekbench AI Score
4461
Single Precision Score
7627
Half Precision Score
6046
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1982
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.7 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3244
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8619
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17240
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14490
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
97% |
3730
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6840
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3886
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7855
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13435
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9290
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21032
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36055
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28375
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5212
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6136
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7387
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7170
123.9 IPS |
