iPhone 17 Pro Max
Geekbench AI Score
5202
Single Precision Score
8488
Half Precision Score
6682
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 01:34 PM |
| Views | 6 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
3800
706.7 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3160
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3471
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10870
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19488
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16667
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
97% |
4229
336.7 IPS |
|
|
Object Detection (Q)
|
94% |
2915
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
4522
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14525
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10248
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25226
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39326
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32298
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6042
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9429
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9479
163.8 IPS |
