iPhone 17 Pro Max
Geekbench AI Score
7589
Single Precision Score
14803
Half Precision Score
14062
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 07:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4141
770.2 IPS |
|
|
Image Classification (HP)
|
100% |
7763
1.44 KIPS |
|
|
Image Classification (Q)
|
97% |
6847
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5987
97.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8360
135.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8888
144.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13152
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
52816
61.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
36523
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3675
291.5 IPS |
|
|
Object Detection (HP)
|
100% |
7257
575.6 IPS |
|
|
Object Detection (Q)
|
93% |
7082
564.9 IPS |
|
|
Face Detection (SP)
|
100% |
8720
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
19600
232.9 IPS |
|
|
Face Detection (Q)
|
100% |
13217
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14974
115.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30158
232.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
30557
238.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37096
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
81982
105.4 IPS |
|
|
Style Transfer (Q)
|
96% |
94555
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9534
352.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15054
555.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18025
665.6 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4833
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4682
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4652
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5763
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5961
103.0 IPS |
