iPhone 17 Pro Max
Geekbench AI Score
5189
Single Precision Score
8449
Half Precision Score
6712
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 04:52 PM |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3778
702.5 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3442
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10749
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19733
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16557
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.6 IPS |
|
|
Object Detection (HP)
|
97% |
4215
335.6 IPS |
|
|
Object Detection (Q)
|
94% |
2927
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8584
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4536
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8553
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14396
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10270
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25165
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38698
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31866
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6879
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6230
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6440
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9433
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9384
162.2 IPS |
