iPhone 17 Pro Max
Geekbench AI Score
5304
Single Precision Score
8410
Half Precision Score
6712
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 05:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2370
440.8 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.1 IPS |
|
|
Image Classification (Q)
|
94% |
1974
369.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8829
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16371
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14160
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (HP)
|
98% |
4140
329.4 IPS |
|
|
Object Detection (Q)
|
88% |
2686
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
9890
117.5 IPS |
|
|
Face Detection (Q)
|
100% |
4644
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7912
61.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11473
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8102
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21812
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40893
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33329
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9452
349.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6000
221.6 IPS |
|
|
Text Classification (SP)
|
100% |
6655
8.88 KIPS |
|
|
Text Classification (HP)
|
100% |
10883
14.5 KIPS |
|
|
Text Classification (Q)
|
92% |
10722
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8835
152.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8629
149.1 IPS |
