iPhone 17 Pro Max
Geekbench AI Score
5221
Single Precision Score
8454
Half Precision Score
6714
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 31 2026 08:05 PM |
| Views | 5 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
3792
705.3 IPS |
|
|
Image Classification (Q)
|
96% |
2516
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3063
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3495
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11168
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20076
23.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17091
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
97% |
4255
338.7 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4723
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
8604
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4632
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14565
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10347
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24844
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39216
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32453
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5664
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5057
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6097
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6077
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5036
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8983
155.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8858
153.1 IPS |
