iPhone 15 Pro Max
Geekbench AI Score
1733
Single Precision Score
3045
Half Precision Score
2448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (HP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (Q)
|
96% |
852
159.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1314
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3693
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
7270
8.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
6273
7.35 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
1407
112.0 IPS |
|
|
Object Detection (Q)
|
94% |
985
78.5 IPS |
|
|
Face Detection (SP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2891
34.3 IPS |
|
|
Face Detection (Q)
|
100% |
1650
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2917
22.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5479
42.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
3850
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9360
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14502
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12021
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2649
97.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1902
70.2 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3089
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3082
53.3 IPS |
