iPhone 17 Pro Max
Geekbench AI Score
9949
Single Precision Score
18898
Half Precision Score
20153
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 15 2026 04:30 PM |
| Views | 2 |
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% |
4264
792.9 IPS |
|
|
Image Classification (HP)
|
100% |
8770
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
8885
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6079
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10532
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20243
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53945
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
68466
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
4496
356.6 IPS |
|
|
Object Detection (HP)
|
100% |
8646
685.8 IPS |
|
|
Object Detection (Q)
|
94% |
9640
768.6 IPS |
|
|
Face Detection (SP)
|
100% |
12102
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
26288
312.4 IPS |
|
|
Face Detection (Q)
|
100% |
25037
297.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17998
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34711
267.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38044
297.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44421
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96633
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
122643
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19620
724.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21749
803.1 IPS |
|
|
Text Classification (SP)
|
99% |
6750
9.01 KIPS |
|
|
Text Classification (HP)
|
99% |
11452
15.3 KIPS |
|
|
Text Classification (Q)
|
93% |
11137
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5933
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7481
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6324
109.3 IPS |
