iPhone 16 Pro Max
Geekbench AI Score
5953
Single Precision Score
7073
Half Precision Score
6753
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 15 2025 11:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2947
548.0 IPS |
|
|
Image Classification (HP)
|
100% |
2612
485.7 IPS |
|
|
Image Classification (Q)
|
96% |
3089
576.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4198
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4869
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4691
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14787
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17732
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17257
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3057
242.5 IPS |
|
|
Object Detection (HP)
|
100% |
3369
267.3 IPS |
|
|
Object Detection (Q)
|
92% |
3400
271.4 IPS |
|
|
Face Detection (SP)
|
100% |
7239
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
10663
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
8613
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13246
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15778
121.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13654
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31201
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40076
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39130
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7973
294.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6905
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1201
20.8 IPS |
