iPhone 16 Pro Max
Geekbench AI Score
6898
Single Precision Score
8052
Half Precision Score
7912
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
3150
585.8 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.7 IPS |
|
|
Image Classification (Q)
|
96% |
3108
580.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4206
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4689
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14862
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17737
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17038
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3215
255.0 IPS |
|
|
Object Detection (HP)
|
100% |
3817
302.8 IPS |
|
|
Object Detection (Q)
|
91% |
3558
284.3 IPS |
|
|
Face Detection (SP)
|
100% |
7328
87.1 IPS |
|
|
Face Detection (HP)
|
100% |
11031
131.1 IPS |
|
|
Face Detection (Q)
|
100% |
10430
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12720
98.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14908
114.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14676
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31452
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40202
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37327
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7520
277.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8315
307.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6850
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
6904
9.22 KIPS |
|
|
Text Classification (HP)
|
100% |
10411
13.9 KIPS |
|
|
Text Classification (Q)
|
93% |
10693
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2602
45.0 IPS |
