iPhone 15 Pro Max
Geekbench AI Score
5094
Single Precision Score
5906
Half Precision Score
5551
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 05:32 PM |
| Views | 5 |
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% |
2149
399.6 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13588
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14717
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14456
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2459
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
6368
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
8877
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
6884
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11129
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12081
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11331
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27452
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32421
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31523
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5992
221.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5642
208.3 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1381
23.9 IPS |
