iPhone 15 Pro Max
Geekbench AI Score
5122
Single Precision Score
5930
Half Precision Score
5586
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 01:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2039
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (Q)
|
96% |
1834
342.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3801
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4234
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4106
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13577
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14737
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14516
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
2766
219.4 IPS |
|
|
Object Detection (Q)
|
92% |
2410
192.4 IPS |
|
|
Face Detection (SP)
|
100% |
6195
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
8726
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
6866
81.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11182
86.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12108
93.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11402
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27582
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32328
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31814
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5931
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5565
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5768
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1406
24.3 IPS |
