iPhone 15 Pro Max
Geekbench AI Score
5041
Single Precision Score
5970
Half Precision Score
5480
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 03:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3740
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4076
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13097
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14451
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14201
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
2935
232.8 IPS |
|
|
Object Detection (Q)
|
92% |
2421
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
8433
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
6910
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10966
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12276
94.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11304
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27432
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31997
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31320
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5764
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5408
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5778
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1357
23.4 IPS |
