iPhone 17 Pro Max
Geekbench AI Score
9154
Single Precision Score
17260
Half Precision Score
18727
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheUdyngOne |
| Upload Date | February 12 2026 03:34 AM |
| Views | 8 |
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% |
4178
777.0 IPS |
|
|
Image Classification (HP)
|
100% |
8567
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
8872
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5910
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9340
151.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10295
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19815
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
52833
61.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67277
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
4350
345.0 IPS |
|
|
Object Detection (HP)
|
100% |
8339
661.5 IPS |
|
|
Object Detection (Q)
|
94% |
9403
749.8 IPS |
|
|
Face Detection (SP)
|
100% |
11900
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
24899
295.9 IPS |
|
|
Face Detection (Q)
|
100% |
24863
295.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17637
135.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33094
255.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
36591
285.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43370
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
93401
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119312
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10192
376.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17737
655.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20802
768.1 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5949
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7610
131.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6355
109.8 IPS |
