iPhone 17 Pro Max
Geekbench AI Score
9027
Single Precision Score
16724
Half Precision Score
17386
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 24 2026 05:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4263
792.8 IPS |
|
|
Image Classification (HP)
|
100% |
7902
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7495
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5993
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9436
153.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20106
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53584
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
57554
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4367
346.4 IPS |
|
|
Object Detection (HP)
|
100% |
8101
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8067
643.5 IPS |
|
|
Face Detection (SP)
|
100% |
11683
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
23132
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
17966
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17818
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34904
268.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38222
298.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43104
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94298
121.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119383
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18548
684.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22152
818.0 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6523
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5784
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5864
101.3 IPS |
