iPhone 15 Pro Max
Geekbench AI Score
5000
Single Precision Score
5961
Half Precision Score
5740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 04:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1908
354.9 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (Q)
|
96% |
2059
384.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3665
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4200
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4071
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13124
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15018
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14494
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (Q)
|
92% |
2594
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
6297
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
8475
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
7076
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10794
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12447
95.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11257
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26752
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30307
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32960
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5947
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5505
203.3 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1489
25.7 IPS |