iPhone 15 Pro Max
Geekbench AI Score
3898
Single Precision Score
6936
Half Precision Score
5627
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 01:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
2995
557.1 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7812
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
16277
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14097
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (HP)
|
97% |
3310
263.5 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3787
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6774
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12799
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8935
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21117
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33976
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27092
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5681
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5642
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6848
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6789
117.3 IPS |
