iPhone 15 Pro Max
Geekbench AI Score
4866
Single Precision Score
5745
Half Precision Score
5556
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:40 PM |
| Views | 3 |
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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
1693
314.9 IPS |
|
|
Image Classification (Q)
|
96% |
2004
374.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4107
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3962
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12435
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14209
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14055
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (Q)
|
92% |
2429
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
6315
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
8228
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
6726
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10626
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12130
93.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11169
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26033
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31497
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31090
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5298
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5258
194.1 IPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5847
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1482
25.6 IPS |
