iPhone 15 Pro Max
Geekbench AI Score
4944
Single Precision Score
5940
Half Precision Score
5633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:52 AM |
| 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% |
1891
351.6 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (Q)
|
96% |
2079
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4208
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4054
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12999
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15012
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14706
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (Q)
|
92% |
2425
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
6279
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
8736
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
6969
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10830
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12316
94.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11346
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26812
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32542
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32957
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5533
204.3 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5453
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1356
23.4 IPS |
