iPhone 15 Pro Max
Geekbench AI Score
5108
Single Precision Score
5957
Half Precision Score
5554
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 12:08 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% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4315
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4156
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13768
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14936
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14619
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
2720
215.7 IPS |
|
|
Object Detection (Q)
|
92% |
2555
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
6554
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
6905
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11201
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12172
93.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11395
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27265
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33091
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31576
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6065
223.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5617
207.4 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5782
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5757
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1381
23.9 IPS |
