iPhone 15 Pro Max
Geekbench AI Score
5022
Single Precision Score
5846
Half Precision Score
5669
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 07:24 PM |
| Views | 2 |
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% |
1960
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
1808
336.2 IPS |
|
|
Image Classification (Q)
|
96% |
2067
386.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3780
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3993
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12992
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15033
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14479
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (Q)
|
92% |
2577
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
6418
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
8626
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
6926
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10826
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12193
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11252
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26511
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32417
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32584
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5556
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5473
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5783
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1365
23.6 IPS |
