iPhone 15 Pro Max
Geekbench AI Score
5074
Single Precision Score
6124
Half Precision Score
5882
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 03:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4216
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4102
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12953
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14902
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14421
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (Q)
|
91% |
2634
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
6287
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
8993
106.9 IPS |
|
|
Face Detection (Q)
|
100% |
8694
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10786
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12338
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11558
90.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27563
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32981
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33147
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5626
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6207
229.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5450
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5669
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5719
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1514
26.2 IPS |
