iPhone 17 Pro Max
Geekbench AI Score
5228
Single Precision Score
8455
Half Precision Score
6732
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 14 2026 01:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2360
438.8 IPS |
|
|
Image Classification (HP)
|
100% |
3777
702.4 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3476
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11149
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19991
23.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16944
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (HP)
|
97% |
4133
329.0 IPS |
|
|
Object Detection (Q)
|
94% |
2921
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8456
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4561
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8566
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14513
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25196
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39113
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32473
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6169
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5240
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9555
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9473
163.7 IPS |
