iPhone 15 Pro Max
Geekbench AI Score
5031
Single Precision Score
5867
Half Precision Score
5467
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | May 07 2025 02:36 PM |
| 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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
1979
368.1 IPS |
|
|
Image Classification (Q)
|
96% |
1491
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4204
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4107
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13042
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14412
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13969
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (Q)
|
92% |
2322
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
6351
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
8322
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
6761
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10944
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11974
92.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11211
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27455
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32653
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31263
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5854
216.2 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5798
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1478
25.5 IPS |
