iPhone 15 Pro Max
Geekbench AI Score
4966
Single Precision Score
6026
Half Precision Score
5687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1763
327.9 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4202
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4117
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13121
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15124
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14540
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
2825
224.1 IPS |
|
|
Object Detection (Q)
|
92% |
2582
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
6251
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8782
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
6965
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11048
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12459
96.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11358
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26898
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32716
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33163
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5702
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5949
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5299
195.7 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5663
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5342
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1519
26.3 IPS |
