iPhone 16 Pro Max
Geekbench AI Score
6094
Single Precision Score
7013
Half Precision Score
6661
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3044
566.2 IPS |
|
|
Image Classification (HP)
|
100% |
2806
521.9 IPS |
|
|
Image Classification (Q)
|
96% |
3129
584.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4931
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4737
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15428
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16288
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15855
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3151
249.9 IPS |
|
|
Object Detection (HP)
|
100% |
3430
272.1 IPS |
|
|
Object Detection (Q)
|
92% |
3146
251.1 IPS |
|
|
Face Detection (SP)
|
100% |
7583
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
10682
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
8273
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13185
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14910
114.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13432
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32604
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37391
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37789
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7972
294.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8382
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7440
274.7 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1277
22.1 IPS |
