iPhone 17 Pro Max
Geekbench AI Score
9401
Single Precision Score
17800
Half Precision Score
19162
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:38 PM |
| Views | 6 |
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% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
100% |
8521
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
8824
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6172
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9778
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10630
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20472
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54823
64.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
70693
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (HP)
|
100% |
8686
689.0 IPS |
|
|
Object Detection (Q)
|
94% |
9595
765.1 IPS |
|
|
Face Detection (SP)
|
100% |
12457
148.0 IPS |
|
|
Face Detection (HP)
|
100% |
26784
318.3 IPS |
|
|
Face Detection (Q)
|
100% |
23874
283.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18260
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33875
261.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38694
302.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45391
58.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96474
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
124055
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10432
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18355
677.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21828
806.0 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6337
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6092
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6170
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7905
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6884
119.0 IPS |
