iPhone 15 Pro Max
Geekbench AI Score
4999
Single Precision Score
6019
Half Precision Score
5738
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 09:20 PM |
| Views | 2 |
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
351.8 IPS |
|
|
Image Classification (HP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (Q)
|
96% |
2161
403.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3795
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4111
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13243
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15178
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14588
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (Q)
|
92% |
2476
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
6368
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
7054
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10779
83.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12302
94.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11561
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26955
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32836
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31814
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5493
202.8 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5974
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5800
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1459
25.2 IPS |
