iPhone 16 Pro Max
Geekbench AI Score
4645
Single Precision Score
7840
Half Precision Score
6233
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 10:49 AM |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9480
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18710
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15535
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
97% |
3793
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3901
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7547
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4200
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8157
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14251
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9968
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20930
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37611
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30852
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7361
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5177
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7263
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7315
126.4 IPS |
