iPhone 17 Pro Max
Geekbench AI Score
9043
Single Precision Score
16776
Half Precision Score
17418
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | DPOUND |
| Upload Date | February 08 2026 02:03 AM |
| Views | 7 |
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% |
4279
795.7 IPS |
|
|
Image Classification (HP)
|
100% |
7900
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7414
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6092
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9577
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10607
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20330
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53934
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59090
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8065
643.4 IPS |
|
|
Face Detection (SP)
|
100% |
11919
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
23192
275.6 IPS |
|
|
Face Detection (Q)
|
100% |
18041
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18013
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35400
272.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39057
304.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44022
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96189
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120487
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19004
701.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22540
832.3 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6011
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4868
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5942
102.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5888
101.8 IPS |
