iPhone 17 Pro Max
Geekbench AI Score
5217
Single Precision Score
8490
Half Precision Score
6702
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 04 2026 05:36 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10786
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19891
23.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16755
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
97% |
4195
333.9 IPS |
|
|
Object Detection (Q)
|
94% |
2869
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8565
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4534
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8644
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14459
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10232
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25262
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39484
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32359
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5694
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7106
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5061
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3343
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6181
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5342
92.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9657
166.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9513
164.4 IPS |
