iPhone 17 Pro Max
Geekbench AI Score
4668
Single Precision Score
6988
Half Precision Score
5936
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheUdyngOne |
| Upload Date | January 10 2026 03:46 AM |
| 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% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.9 IPS |
|
|
Image Classification (Q)
|
96% |
2468
460.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9874
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18311
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15567
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2584
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
4078
324.6 IPS |
|
|
Object Detection (Q)
|
94% |
2777
221.3 IPS |
|
|
Face Detection (SP)
|
100% |
4494
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8221
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13957
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8862
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21181
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33497
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27123
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4015
148.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2923
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6071
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5928
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8371
144.7 IPS |
