iPhone 17 Pro Max
Geekbench AI Score
5165
Single Precision Score
8436
Half Precision Score
6647
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | DPOUND |
| Upload Date | February 08 2026 02:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
3776
702.2 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10635
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19507
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16115
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
4204
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2884
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
4610
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8516
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4424
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8621
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14431
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10161
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25122
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38740
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31958
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6085
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5259
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9539
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9466
163.6 IPS |
