iPhone 17 Pro Max
Geekbench AI Score
9889
Single Precision Score
18609
Half Precision Score
20066
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | omerakgoz34 |
| Upload Date | March 25 2026 08:39 AM |
| Views | 6 |
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% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
100% |
8718
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
8923
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5995
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9444
153.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10433
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20053
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53447
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67395
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
4418
350.4 IPS |
|
|
Object Detection (HP)
|
100% |
8751
694.1 IPS |
|
|
Object Detection (Q)
|
94% |
9644
768.9 IPS |
|
|
Face Detection (SP)
|
100% |
12104
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
25672
305.0 IPS |
|
|
Face Detection (Q)
|
100% |
24924
296.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17806
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33459
257.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37898
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43849
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95606
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120614
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10284
379.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18682
689.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21443
791.8 IPS |
|
|
Text Classification (SP)
|
99% |
6638
8.86 KIPS |
|
|
Text Classification (HP)
|
99% |
11080
14.8 KIPS |
|
|
Text Classification (Q)
|
92% |
10983
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
6051
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7610
131.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6519
112.7 IPS |
