iPhone 17 Pro Max
Geekbench AI Score
6738
Single Precision Score
12449
Half Precision Score
12686
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheUdyngOne |
| Upload Date | January 10 2026 03:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3948
734.2 IPS |
|
|
Image Classification (HP)
|
100% |
4874
906.4 IPS |
|
|
Image Classification (Q)
|
97% |
5533
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5749
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6107
99.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9749
158.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16577
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35631
41.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45688
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
3450
273.7 IPS |
|
|
Object Detection (HP)
|
100% |
7350
583.0 IPS |
|
|
Object Detection (Q)
|
92% |
5388
430.3 IPS |
|
|
Face Detection (SP)
|
100% |
7013
83.3 IPS |
|
|
Face Detection (HP)
|
100% |
14548
172.9 IPS |
|
|
Face Detection (Q)
|
100% |
17186
204.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10791
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23979
184.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
28279
220.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35408
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
91332
117.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64135
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19007
701.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16458
607.7 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4711
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4023
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4150
71.7 IPS |
