iPhone 15 Pro Max
Geekbench AI Score
5043
Single Precision Score
6072
Half Precision Score
5698
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 12:06 PM |
| Views | 2 |
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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.4 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3701
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4268
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13235
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15123
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14567
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (Q)
|
92% |
2558
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
6304
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
8661
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
7051
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11055
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12334
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11424
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26761
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32800
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33089
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5519
203.8 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5419
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1418
24.5 IPS |
