iPhone 17 Pro Max
Geekbench AI Score
9983
Single Precision Score
18663
Half Precision Score
20227
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 03 2026 10:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4348
808.5 IPS |
|
|
Image Classification (HP)
|
100% |
8837
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9044
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9634
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10578
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20291
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53518
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
68405
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
4511
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
8717
691.4 IPS |
|
|
Object Detection (Q)
|
94% |
9649
769.3 IPS |
|
|
Face Detection (SP)
|
100% |
12363
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
26332
312.9 IPS |
|
|
Face Detection (Q)
|
100% |
24685
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17682
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
31847
245.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37499
292.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44019
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95398
122.6 IPS |
|
|
Style Transfer (Q)
|
96% |
122633
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19149
707.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21862
807.2 IPS |
|
|
Text Classification (SP)
|
100% |
6665
8.90 KIPS |
|
|
Text Classification (HP)
|
100% |
10824
14.4 KIPS |
|
|
Text Classification (Q)
|
93% |
11265
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
6071
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7785
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6497
112.3 IPS |
