iPhone 16 Pro Max
Geekbench AI Score
4579
Single Precision Score
7797
Half Precision Score
6220
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9188
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18241
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15263
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7360
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4137
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8081
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14293
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9938
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19940
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37731
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30678
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5983
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6022
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7320
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7343
126.9 IPS |
