iPhone 15 Pro Max
Geekbench AI Score
4972
Single Precision Score
5858
Half Precision Score
5604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4077
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13028
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14990
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14407
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (Q)
|
92% |
2430
194.0 IPS |
|
|
Face Detection (SP)
|
100% |
6109
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
8357
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
6855
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10788
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12306
94.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11209
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26372
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32337
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31441
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5694
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5395
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1439
24.9 IPS |
