iPhone 16 Pro Max
Geekbench AI Score
4691
Single Precision Score
7888
Half Precision Score
6292
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | June 07 2025 11:08 PM |
| Views | 4 |
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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9629
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18994
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15806
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7550
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4250
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14412
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10057
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21084
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38202
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31152
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5643
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7342
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5201
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6045
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7354
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7290
126.0 IPS |
