iPhone 17 Pro Max
Geekbench AI Score
5037
Single Precision Score
8240
Half Precision Score
6520
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 20 2026 11:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2293
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.8 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18175
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15702
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
97% |
4105
326.8 IPS |
|
|
Object Detection (Q)
|
94% |
2769
220.7 IPS |
|
|
Face Detection (SP)
|
100% |
4324
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
8326
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4272
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13957
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9913
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24279
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36924
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30540
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4912
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6454
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6378
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9215
159.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9394
162.3 IPS |
