iPhone 16 Pro Max
Geekbench AI Score
4472
Single Precision Score
7641
Half Precision Score
6084
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3458
643.1 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8645
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17446
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14446
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
97% |
3704
294.9 IPS |
|
|
Object Detection (Q)
|
94% |
2584
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6965
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
3986
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7968
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13537
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9566
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21154
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35745
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29493
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6969
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4976
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6256
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4073
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7424
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7331
126.7 IPS |
