iPhone 16 Pro Max
Geekbench AI Score
4512
Single Precision Score
7638
Half Precision Score
6103
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 10:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8942
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17251
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14895
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3682
293.1 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
7228
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4056
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7877
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13727
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9563
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19312
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36158
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29804
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7269
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5089
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7239
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7228
124.9 IPS |
