iPhone 15 Pro Max
Geekbench AI Score
5033
Single Precision Score
5874
Half Precision Score
5719
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1960
364.5 IPS |
|
|
Image Classification (HP)
|
100% |
1778
330.6 IPS |
|
|
Image Classification (Q)
|
96% |
2139
399.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3809
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4209
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12969
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15001
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14598
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (Q)
|
92% |
2486
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
6552
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
7061
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10892
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12214
94.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11338
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26603
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32185
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32753
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5759
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5904
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5519
203.8 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1525
26.4 IPS |
