iPhone 15 Pro Max
Geekbench AI Score
5085
Single Precision Score
5836
Half Precision Score
5503
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2229
414.4 IPS |
|
|
Image Classification (HP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3667
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4209
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4050
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13343
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14411
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14193
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (Q)
|
92% |
2495
199.2 IPS |
|
|
Face Detection (SP)
|
100% |
6296
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
8551
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
6997
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11059
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11988
92.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11091
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27779
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30393
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31038
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5824
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5870
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5529
204.2 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5657
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1401
24.2 IPS |
