iPhone 15 Pro Max
Geekbench AI Score
5023
Single Precision Score
5902
Half Precision Score
5666
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:13 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% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
1885
350.6 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3762
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4210
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4057
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13229
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15068
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14523
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (Q)
|
92% |
2597
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
6435
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
8730
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
6949
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11039
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12198
94.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11330
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26966
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32737
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33315
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5723
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5443
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5730
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1340
23.2 IPS |
