iPhone 15 Pro Max
Geekbench AI Score
4965
Single Precision Score
6017
Half Precision Score
5664
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 01 2025 10:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1933
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (Q)
|
96% |
2077
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3659
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4156
67.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12975
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14999
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14450
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
2779
220.4 IPS |
|
|
Object Detection (Q)
|
92% |
2614
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
6371
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
8544
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
6837
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10989
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12258
94.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11261
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26436
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32380
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31958
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6043
223.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5442
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1472
25.4 IPS |
