iPhone 17 Pro Max
Geekbench AI Score
9264
Single Precision Score
17478
Half Precision Score
17928
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 06:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4365
811.8 IPS |
|
|
Image Classification (HP)
|
100% |
8427
1.57 KIPS |
|
|
Image Classification (Q)
|
97% |
7698
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6211
100.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9817
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10814
175.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20536
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54829
64.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59793
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4571
362.6 IPS |
|
|
Object Detection (HP)
|
100% |
8698
689.9 IPS |
|
|
Object Detection (Q)
|
92% |
8458
675.4 IPS |
|
|
Face Detection (SP)
|
100% |
12529
148.9 IPS |
|
|
Face Detection (HP)
|
100% |
26943
320.1 IPS |
|
|
Face Detection (Q)
|
100% |
20225
240.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18237
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35890
276.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
39134
305.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44717
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96401
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120924
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10473
386.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18378
678.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22036
813.7 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6333
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4877
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6150
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6101
105.4 IPS |
