iPhone 16 Pro Max
Geekbench AI Score
6205
Single Precision Score
6855
Half Precision Score
6882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 16 2025 05:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2950
548.7 IPS |
|
|
Image Classification (HP)
|
100% |
1822
338.9 IPS |
|
|
Image Classification (Q)
|
96% |
3104
579.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4493
72.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4921
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4787
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15811
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17336
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17332
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3384
268.4 IPS |
|
|
Object Detection (HP)
|
100% |
3509
278.3 IPS |
|
|
Object Detection (Q)
|
92% |
3194
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
8170
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
11140
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
8961
106.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14162
109.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15796
121.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14492
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32799
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39437
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40040
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7969
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8173
301.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7511
277.4 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1231
21.3 IPS |
