iPhone 15 Pro Max
Geekbench AI Score
4885
Single Precision Score
5953
Half Precision Score
5495
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:20 AM |
| Views | 14 |
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% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
2124
394.9 IPS |
|
|
Image Classification (Q)
|
96% |
1563
292.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3666
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4080
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13410
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14578
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14251
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (Q)
|
92% |
2398
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
8806
104.6 IPS |
|
|
Face Detection (Q)
|
100% |
6969
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11105
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12067
93.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11276
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27831
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31837
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31340
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5556
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5780
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1441
24.9 IPS |
