iPhone 16 Pro Max
Geekbench AI Score
6086
Single Precision Score
6979
Half Precision Score
6663
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 03:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2849
529.8 IPS |
|
|
Image Classification (HP)
|
100% |
2801
520.9 IPS |
|
|
Image Classification (Q)
|
96% |
3104
579.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4381
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4738
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15386
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16263
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15772
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3316
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
3386
268.6 IPS |
|
|
Object Detection (Q)
|
92% |
3101
247.5 IPS |
|
|
Face Detection (SP)
|
100% |
7488
89.0 IPS |
|
|
Face Detection (HP)
|
100% |
10595
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
8450
100.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13534
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14861
114.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13356
104.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32749
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37243
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37264
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7977
294.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8371
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7511
277.3 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6020
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
