iPhone 16 Pro Max
Geekbench AI Score
5886
Single Precision Score
7089
Half Precision Score
6618
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2903
539.9 IPS |
|
|
Image Classification (HP)
|
100% |
2717
505.2 IPS |
|
|
Image Classification (Q)
|
96% |
3070
573.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4879
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4703
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14886
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17758
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17130
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
92% |
3148
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
6980
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
10284
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
7941
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12729
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15014
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13855
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30920
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38749
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37626
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7296
269.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8181
302.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6849
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6080
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1197
20.7 IPS |
