iPhone 16 Pro Max
Geekbench AI Score
4730
Single Precision Score
7924
Half Precision Score
6310
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 09:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
3419
635.8 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3357
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9713
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19158
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16193
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7592
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4245
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14595
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10120
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21239
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38149
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31435
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5675
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7360
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5192
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5871
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4280
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7419
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7400
127.9 IPS |
