iPhone 17 Pro Max
Geekbench AI Score
5285
Single Precision Score
38392
Half Precision Score
52335
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | matta |
| Upload Date | March 18 2026 05:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2416
449.4 IPS |
|
|
Image Classification (HP)
|
100% |
16103
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22629
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19738
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23950
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8249
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
151494
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
285612
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
17914
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
25732
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
42931
510.1 IPS |
|
|
Face Detection (Q)
|
100% |
57685
685.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7946
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105361
811.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
174037
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
21886
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
260401
334.7 IPS |
|
|
Style Transfer (Q)
|
96% |
326919
421.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55324
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85003
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
6679
8.91 KIPS |
|
|
Text Classification (HP)
|
100% |
11165
14.9 KIPS |
|
|
Text Classification (Q)
|
93% |
11154
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11087
191.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12437
214.9 IPS |
