iPhone 16 Pro Max
Geekbench AI Score
5896
Single Precision Score
7129
Half Precision Score
6704
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2954
549.3 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
3124
583.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4262
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4687
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14875
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17928
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17148
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3054
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (Q)
|
92% |
3166
252.7 IPS |
|
|
Face Detection (SP)
|
100% |
6915
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
10390
123.5 IPS |
|
|
Face Detection (Q)
|
100% |
8017
95.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12718
98.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15094
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13606
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30933
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38703
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38409
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7387
272.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8196
302.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7070
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6235
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6079
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1282
22.2 IPS |
