iPhone 17 Pro Max
Geekbench AI Score
5118
Single Precision Score
8340
Half Precision Score
6630
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RenLee_1914 |
| Upload Date | March 01 2026 05:11 PM |
| Views | 5 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3422
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10392
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19028
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16185
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (HP)
|
97% |
4150
330.3 IPS |
|
|
Object Detection (Q)
|
94% |
2854
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8499
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4468
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14247
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10040
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24323
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38071
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31503
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6229
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5313
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9416
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9654
166.8 IPS |
