iPhone 16 Pro Max
Geekbench AI Score
4568
Single Precision Score
7771
Half Precision Score
6205
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 09:46 AM |
| Views | 2 |
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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
3398
632.0 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3327
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9031
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17592
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15369
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2609
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7392
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4164
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8137
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14362
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9892
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20103
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37302
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30843
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7223
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5119
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7332
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7299
126.1 IPS |
