iPhone 16 Pro Max
Geekbench AI Score
4561
Single Precision Score
7774
Half Precision Score
6190
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3469
645.0 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9226
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18266
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15227
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3712
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2603
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6863
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
4039
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8095
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13734
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9581
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21637
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38493
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30399
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5131
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6240
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7449
128.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7261
125.5 IPS |
