iPhone 16 Pro Max
Geekbench AI Score
5829
Single Precision Score
6861
Half Precision Score
6606
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 09:08 PM |
| 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% |
2983
554.7 IPS |
|
|
Image Classification (HP)
|
100% |
2439
453.6 IPS |
|
|
Image Classification (Q)
|
96% |
3187
595.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4730
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14929
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17874
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17156
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3286
260.7 IPS |
|
|
Object Detection (HP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (Q)
|
92% |
3205
255.8 IPS |
|
|
Face Detection (SP)
|
100% |
7017
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
10293
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
7999
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12751
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15492
119.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14372
112.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30963
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39222
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38156
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7391
272.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8184
302.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7052
260.4 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5126
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1205
20.8 IPS |
