iPhone 15 Pro Max
Geekbench AI Score
5119
Single Precision Score
5986
Half Precision Score
5506
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 01:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
96% |
1537
286.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3833
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4109
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13564
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14669
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14337
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
2782
220.7 IPS |
|
|
Object Detection (Q)
|
92% |
2459
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
6550
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
8839
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
7023
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11298
87.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12347
95.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11463
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27560
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33301
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31377
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5553
205.0 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5708
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5717
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1436
24.8 IPS |
