iPhone 17 Pro Max
Geekbench AI Score
4905
Single Precision Score
8037
Half Precision Score
6352
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 20 2026 11:57 AM |
| Views | 2 |
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% |
2169
403.3 IPS |
|
|
Image Classification (HP)
|
100% |
3664
681.4 IPS |
|
|
Image Classification (Q)
|
96% |
2447
457.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9599
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17662
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14444
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
97% |
3999
318.4 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8028
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7948
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13537
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9573
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22483
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35661
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29291
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5169
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6922
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6354
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5502
94.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8609
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9311
160.9 IPS |
