iPhone 16 Pro Max
Geekbench AI Score
7068
Single Precision Score
7947
Half Precision Score
7977
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3146
585.1 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
3148
587.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4715
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14870
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17877
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17066
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3209
254.6 IPS |
|
|
Object Detection (HP)
|
100% |
3508
278.2 IPS |
|
|
Object Detection (Q)
|
91% |
3687
294.6 IPS |
|
|
Face Detection (SP)
|
100% |
7282
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
11003
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
10411
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12730
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15111
116.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14318
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31482
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40334
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38126
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7492
276.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8313
307.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7191
265.5 IPS |
|
|
Text Classification (SP)
|
99% |
6960
9.29 KIPS |
|
|
Text Classification (HP)
|
99% |
10423
13.9 KIPS |
|
|
Text Classification (Q)
|
93% |
10514
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2601
45.0 IPS |
