iPhone 15 Pro Max
Geekbench AI Score
5070
Single Precision Score
5938
Half Precision Score
5477
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4158
67.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4035
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13206
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14370
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14259
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
2700
214.1 IPS |
|
|
Object Detection (Q)
|
92% |
2369
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
6587
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
9204
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
7272
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11479
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12607
97.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11332
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27327
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32118
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31317
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5126
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1357
23.4 IPS |
