iPhone 17 Pro Max
Geekbench AI Score
9096
Single Precision Score
16950
Half Precision Score
17454
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:03 PM |
| 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% |
4337
806.5 IPS |
|
|
Image Classification (HP)
|
100% |
8067
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7432
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6147
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9633
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10614
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20486
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54565
63.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59665
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8069
643.7 IPS |
|
|
Face Detection (SP)
|
100% |
11708
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
23183
275.5 IPS |
|
|
Face Detection (Q)
|
100% |
17872
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18164
139.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35755
275.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38818
303.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43990
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96453
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
121166
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10486
387.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19299
712.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22493
830.6 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6074
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6096
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
