iPhone 15 Pro Max
Geekbench AI Score
3714
Single Precision Score
6820
Half Precision Score
5555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Caliqo |
| Upload Date | October 08 2025 10:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1548
287.9 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.5 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3016
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7252
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
15762
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13607
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.8 IPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6591
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3702
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6606
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12778
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8822
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20103
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32467
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26660
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5667
209.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4329
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7154
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7046
121.8 IPS |
