iPhone 17 Pro Max
Geekbench AI Score
8894
Single Precision Score
16614
Half Precision Score
17024
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 12:19 PM |
| Views | 1 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4152
772.2 IPS |
|
|
Image Classification (HP)
|
100% |
7773
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
7117
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6003
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9493
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10482
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19952
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53069
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57444
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8390
665.5 IPS |
|
|
Object Detection (Q)
|
92% |
8079
645.1 IPS |
|
|
Face Detection (SP)
|
100% |
11977
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
25220
299.7 IPS |
|
|
Face Detection (Q)
|
100% |
19048
226.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17801
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35233
271.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37952
296.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43138
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93302
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
118065
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10219
377.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17441
644.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20941
773.2 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
6222
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5424
93.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5410
93.5 IPS |
