iPhone 17 Pro Max
Geekbench AI Score
9353
Single Precision Score
17762
Half Precision Score
19114
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | qingluoa |
| Upload Date | February 15 2026 04:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
4313
802.1 IPS |
|
|
Image Classification (HP)
|
100% |
8658
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8826
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6137
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9663
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10593
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20368
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54462
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
69671
81.7 IPS |
|
|
Object Detection (SP)
|
100% |
4536
359.8 IPS |
|
|
Object Detection (HP)
|
100% |
8570
679.8 IPS |
|
|
Object Detection (Q)
|
94% |
9640
768.6 IPS |
|
|
Face Detection (SP)
|
100% |
12429
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
26927
320.0 IPS |
|
|
Face Detection (Q)
|
100% |
25644
304.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18213
140.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33625
259.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38297
299.0 IPS |
|
|
Style Transfer (SP)
|
100% |
45010
57.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96361
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
123615
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10422
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18219
672.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21740
802.8 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6153
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7824
134.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6614
114.3 IPS |
