iPhone 15 Pro Max
Geekbench AI Score
5017
Single Precision Score
5905
Half Precision Score
5488
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:41 PM |
| Views | 3 |
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% |
1921
357.2 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (Q)
|
96% |
1478
276.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3735
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4199
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4106
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13273
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14678
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14410
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.9 IPS |
|
|
Object Detection (Q)
|
92% |
2471
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
6251
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6894
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11056
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12187
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11403
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27504
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31954
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31364
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5512
203.5 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5792
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1457
25.2 IPS |
