iPhone 17 Pro Max
Geekbench AI Score
8952
Single Precision Score
16543
Half Precision Score
17176
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 02:53 AM |
| Views | 2 |
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% |
4248
790.0 IPS |
|
|
Image Classification (HP)
|
100% |
7946
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7447
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5925
96.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9380
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10327
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19808
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
52739
61.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
56751
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
4355
345.4 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8033
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11624
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
22442
266.7 IPS |
|
|
Face Detection (Q)
|
100% |
17904
212.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17665
136.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34909
269.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37955
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42992
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93025
119.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116333
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10284
379.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17749
655.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21977
811.5 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4821
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5825
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5787
100.0 IPS |
