iPhone 16 Pro Max
Geekbench AI Score
4656
Single Precision Score
7865
Half Precision Score
6281
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 16 2025 05:36 AM |
| Views | 3 |
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% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
3412
634.6 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9533
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18596
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15617
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7462
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4225
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8259
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14511
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10033
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20610
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37560
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31079
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5412
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5077
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5913
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6069
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7401
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7397
127.8 IPS |
