iPhone 17 Pro Max
Geekbench AI Score
5210
Single Precision Score
8455
Half Precision Score
6689
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vuthi |
| Upload Date | February 20 2026 08:13 AM |
| Views | 8 |
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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
3775
702.0 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3422
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11016
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19809
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16930
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4217
335.7 IPS |
|
|
Object Detection (Q)
|
94% |
2913
232.2 IPS |
|
|
Face Detection (SP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8542
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4555
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14451
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10232
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25330
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39039
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32119
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5656
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7057
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6056
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5337
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9528
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9572
165.4 IPS |
