iPhone 15 Pro Max
Geekbench AI Score
5051
Single Precision Score
5941
Half Precision Score
5605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 12:14 AM |
| Views | 3 |
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% |
1866
347.0 IPS |
|
|
Image Classification (HP)
|
100% |
1752
325.9 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3715
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4062
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13144
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15014
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14673
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (Q)
|
92% |
2405
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
6428
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
9144
108.7 IPS |
|
|
Face Detection (Q)
|
100% |
7100
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11238
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12810
98.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11176
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27492
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33451
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32061
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5726
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6616
244.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1503
26.0 IPS |
