iPhone 15 Pro Max
Geekbench AI Score
4944
Single Precision Score
5988
Half Precision Score
5697
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.5 IPS |
|
|
Image Classification (Q)
|
96% |
2066
385.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3661
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4126
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4057
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12835
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14519
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (Q)
|
92% |
2441
194.8 IPS |
|
|
Face Detection (SP)
|
100% |
6112
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
8874
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
7260
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10814
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12264
94.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11327
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26724
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32667
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32013
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5705
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6229
230.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5422
200.2 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5819
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5669
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1500
25.9 IPS |
