iPhone 15 Pro Max
Geekbench AI Score
5002
Single Precision Score
5899
Half Precision Score
5727
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1863
346.5 IPS |
|
|
Image Classification (HP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3769
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4201
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4051
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13039
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15029
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14550
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (Q)
|
92% |
2494
199.1 IPS |
|
|
Face Detection (SP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
8811
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
6897
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10999
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12214
94.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11244
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26662
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32642
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33031
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5862
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5445
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5925
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1563
27.0 IPS |
