iPhone 16 Pro Max
Geekbench AI Score
6114
Single Precision Score
6922
Half Precision Score
6868
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 08:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2921
543.1 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
96% |
3108
580.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4379
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4895
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4755
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15626
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17528
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17309
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3327
263.9 IPS |
|
|
Object Detection (HP)
|
100% |
3661
290.4 IPS |
|
|
Object Detection (Q)
|
92% |
3395
271.0 IPS |
|
|
Face Detection (SP)
|
100% |
7796
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
11078
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
8727
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13951
107.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15642
120.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13878
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32192
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39487
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39739
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7891
291.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8195
302.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7515
277.5 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5932
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
