iPhone 15 Pro Max
Geekbench AI Score
3845
Single Precision Score
6837
Half Precision Score
5592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 01:22 AM |
| Views | 1 |
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% |
1683
313.1 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.5 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3030
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7555
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15701
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13666
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3264
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6683
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3681
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6741
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12729
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8843
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20373
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32871
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26818
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4662
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4368
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5776
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6765
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6890
119.1 IPS |
