iPhone 15 Pro Max
Geekbench AI Score
5004
Single Precision Score
5955
Half Precision Score
5611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 02:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1901
353.5 IPS |
|
|
Image Classification (HP)
|
100% |
1690
314.4 IPS |
|
|
Image Classification (Q)
|
96% |
2067
386.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3787
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4241
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4071
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13167
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15002
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14555
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (Q)
|
92% |
2487
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
6143
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
8653
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
6931
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10984
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12348
95.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11353
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27785
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32736
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32825
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5361
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1756
30.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1345
23.2 IPS |
