iPhone 16 Pro Max
Geekbench AI Score
3844
Single Precision Score
6691
Half Precision Score
5406
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3120
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8454
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
16789
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14123
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
97% |
3464
275.7 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6015
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3652
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12883
99.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8993
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16898
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29923
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22578
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3049
112.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4720
174.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3796
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5847
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5865
101.4 IPS |
