iPhone 16 Pro Max
Geekbench AI Score
4632
Single Precision Score
8118
Half Precision Score
6483
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1960
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7203
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16852
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14795
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2581
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6958
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7316
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13618
105.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9453
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19839
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36970
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30258
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4752
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5143
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
7037
9.39 KIPS |
|
|
Text Classification (HP)
|
99% |
10950
14.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10715
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7213
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7173
124.0 IPS |
