iPhone 16 Pro Max
Geekbench AI Score
5846
Single Precision Score
7047
Half Precision Score
6703
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2883
536.1 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.4 IPS |
|
|
Image Classification (Q)
|
94% |
2983
557.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4158
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4714
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14726
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17749
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17014
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (Q)
|
90% |
3276
261.9 IPS |
|
|
Face Detection (SP)
|
100% |
7126
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
10898
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
8435
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12663
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15131
116.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13931
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30263
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38966
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38534
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8078
298.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6915
255.3 IPS |
|
|
Text Classification (SP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6259
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6253
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1194
20.6 IPS |
