iPhone 15 Pro Max
Geekbench AI Score
5000
Single Precision Score
5904
Half Precision Score
5675
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 25 2025 04:16 PM |
| Views | 8 |
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% |
1962
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
1856
345.2 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3800
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4246
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4114
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13247
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15100
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14542
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (Q)
|
92% |
2525
201.5 IPS |
|
|
Face Detection (SP)
|
100% |
6428
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
8529
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6710
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10977
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12286
94.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11315
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26945
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32719
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33127
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5724
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5870
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5558
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1359
23.5 IPS |
