iPhone 16 Pro Max
Geekbench AI Score
4599
Single Precision Score
7839
Half Precision Score
6232
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:15 AM |
| Views | 5 |
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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
3382
629.0 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9275
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18327
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15499
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7424
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4172
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8158
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14307
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9817
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20176
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37801
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30572
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7316
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5220
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6037
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4156
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7323
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7299
126.1 IPS |
