iPhone 17 Pro Max
Geekbench AI Score
5317
Single Precision Score
8488
Half Precision Score
6693
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 03 2026 10:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
2862
532.3 IPS |
|
|
Image Classification (Q)
|
94% |
1881
351.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3536
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8611
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16384
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14374
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
98% |
4218
335.6 IPS |
|
|
Object Detection (Q)
|
88% |
2751
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
9934
118.0 IPS |
|
|
Face Detection (Q)
|
100% |
4716
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7985
61.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11231
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7952
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22247
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41806
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33190
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9411
347.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6100
225.3 IPS |
|
|
Text Classification (SP)
|
99% |
6628
8.85 KIPS |
|
|
Text Classification (HP)
|
99% |
10723
14.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10514
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5272
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8619
148.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8600
148.6 IPS |
