iPhone 17 Pro Max
Geekbench AI Score
9882
Single Precision Score
18520
Half Precision Score
20069
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | matta |
| Upload Date | March 18 2026 05:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4306
800.7 IPS |
|
|
Image Classification (HP)
|
100% |
8697
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
8944
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5973
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9482
153.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10457
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19956
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53112
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67042
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8785
696.8 IPS |
|
|
Object Detection (Q)
|
94% |
9631
767.9 IPS |
|
|
Face Detection (SP)
|
100% |
12185
144.8 IPS |
|
|
Face Detection (HP)
|
100% |
25327
300.9 IPS |
|
|
Face Detection (Q)
|
100% |
25088
298.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17782
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33412
257.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37882
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43829
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93368
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120599
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10329
381.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18313
676.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21380
789.5 IPS |
|
|
Text Classification (SP)
|
100% |
6653
8.88 KIPS |
|
|
Text Classification (HP)
|
100% |
11085
14.8 KIPS |
|
|
Text Classification (Q)
|
92% |
11065
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
6026
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7694
132.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6473
111.9 IPS |
