iPhone 17 Pro Max
Geekbench AI Score
9114
Single Precision Score
16890
Half Precision Score
17543
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 08:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4300
799.7 IPS |
|
|
Image Classification (HP)
|
100% |
7996
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7559
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6094
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9547
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10571
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20146
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53282
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
58771
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8104
642.8 IPS |
|
|
Object Detection (Q)
|
93% |
8081
644.7 IPS |
|
|
Face Detection (SP)
|
100% |
11908
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
23122
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17966
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17918
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35590
274.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38962
304.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43851
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93987
120.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119617
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10274
379.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18750
692.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22384
826.5 IPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6607
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5985
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6025
104.1 IPS |
