iPhone 17 Pro Max
Geekbench AI Score
10057
Single Precision Score
18977
Half Precision Score
20341
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 26 2026 07:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
4307
801.0 IPS |
|
|
Image Classification (HP)
|
100% |
8632
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8885
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6182
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9833
159.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10650
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20582
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54920
64.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
71091
83.3 IPS |
|
|
Object Detection (SP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (HP)
|
100% |
8694
689.6 IPS |
|
|
Object Detection (Q)
|
94% |
9642
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
12446
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
26946
320.2 IPS |
|
|
Face Detection (Q)
|
100% |
25861
307.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18176
140.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34192
263.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
39243
306.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44991
57.8 IPS |
|
|
Style Transfer (HP)
|
100% |
97376
125.2 IPS |
|
|
Style Transfer (Q)
|
96% |
124266
160.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10446
385.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18583
686.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21856
807.0 IPS |
|
|
Text Classification (SP)
|
100% |
6611
8.82 KIPS |
|
|
Text Classification (HP)
|
99% |
11664
15.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10977
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
6044
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7689
132.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6180
106.8 IPS |
