iPhone 15 Pro Max
Geekbench AI Score
4943
Single Precision Score
5864
Half Precision Score
5691
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:16 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% |
1822
338.9 IPS |
|
|
Image Classification (HP)
|
100% |
1829
340.2 IPS |
|
|
Image Classification (Q)
|
96% |
2116
395.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4188
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4027
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13026
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14920
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14426
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
2539
201.4 IPS |
|
|
Object Detection (Q)
|
92% |
2516
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
6412
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8728
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
6827
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10864
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12177
93.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11427
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26523
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32412
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32805
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5621
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5310
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1517
26.2 IPS |
