iPhone 17 Pro Max
Geekbench AI Score
4395
Single Precision Score
7451
Half Precision Score
5761
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1845
343.1 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.1 IPS |
|
|
Image Classification (Q)
|
96% |
1688
315.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2976
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7431
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16080
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14114
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2085
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6374
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
3575
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6954
53.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12580
97.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9215
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23161
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35877
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29810
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5303
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4884
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
6137
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6153
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4993
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8770
151.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9240
159.7 IPS |
