iPhone 16 Pro Max
Geekbench AI Score
4525
Single Precision Score
7660
Half Precision Score
6152
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:21 AM |
| Views | 10 |
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% |
1969
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
3427
637.3 IPS |
|
|
Image Classification (Q)
|
96% |
2302
430.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9066
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17573
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15034
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6877
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
4009
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8071
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13688
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9557
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21408
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37578
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29443
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5097
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6174
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4024
69.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7276
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7317
126.4 IPS |
