iPhone 15 Pro Max
Geekbench AI Score
5014
Single Precision Score
6036
Half Precision Score
5609
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 08:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1842
342.6 IPS |
|
|
Image Classification (HP)
|
100% |
1817
337.9 IPS |
|
|
Image Classification (Q)
|
96% |
2053
383.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3711
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4229
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4038
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13061
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15044
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14476
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (Q)
|
92% |
2552
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
6229
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
8776
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
6955
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10879
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12240
94.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11312
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26588
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32582
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31610
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5782
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5408
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5731
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1371
23.7 IPS |
