iPhone 16 Pro Max
Geekbench AI Score
3157
Single Precision Score
5294
Half Precision Score
4165
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:35 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% |
1133
210.8 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.8 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2217
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5055
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
11437
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9631
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
2794
222.4 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
5122
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
2718
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5247
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
9677
74.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6466
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12614
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26008
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20480
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4268
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3510
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4635
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4536
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4765
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
