iPhone 16 Pro Max
Geekbench AI Score
5903
Single Precision Score
7079
Half Precision Score
6647
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 12:18 AM |
| Views | 6 |
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% |
2974
553.1 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (Q)
|
96% |
3137
585.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4273
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4696
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14855
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17716
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17032
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3029
240.3 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
92% |
3154
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
10251
121.8 IPS |
|
|
Face Detection (Q)
|
100% |
7946
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12825
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15108
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13584
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30518
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38786
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38394
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7339
271.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8169
301.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7009
258.8 IPS |
|
|
Text Classification (SP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1210
20.9 IPS |
