iPhone 15 Pro Max
Geekbench AI Score
4968
Single Precision Score
5882
Half Precision Score
5777
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 10:01 AM |
| 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% |
1896
352.6 IPS |
|
|
Image Classification (HP)
|
100% |
1700
316.1 IPS |
|
|
Image Classification (Q)
|
96% |
2152
401.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13136
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15050
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14513
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (Q)
|
92% |
2388
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
6238
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
8648
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
6919
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10941
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12725
98.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11231
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26918
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32788
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32435
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5532
204.3 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1749
30.2 IPS |
