iPhone 16 Pro Max
Geekbench AI Score
5895
Single Precision Score
6926
Half Precision Score
6668
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3008
559.3 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.6 IPS |
|
|
Image Classification (Q)
|
96% |
3032
566.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4707
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14910
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17909
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16863
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3064
243.1 IPS |
|
|
Object Detection (HP)
|
100% |
3330
264.2 IPS |
|
|
Object Detection (Q)
|
92% |
3149
251.3 IPS |
|
|
Face Detection (SP)
|
100% |
6910
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
10317
122.6 IPS |
|
|
Face Detection (Q)
|
100% |
7928
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12535
96.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15040
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14054
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30417
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38882
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38549
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7264
268.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8170
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6962
257.1 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6088
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6162
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1245
21.5 IPS |
