iPhone 15 Pro Max
Geekbench AI Score
3864
Single Precision Score
6766
Half Precision Score
5524
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 10:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.5 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3063
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7901
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15952
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13760
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
97% |
3320
264.3 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3804
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6824
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13250
102.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9068
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20577
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31620
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26816
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4324
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5993
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6026
104.1 IPS |
