iPhone 15 Pro Max
Geekbench AI Score
3894
Single Precision Score
6777
Half Precision Score
5548
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MattyMultiMedia |
| Upload Date | February 22 2025 10:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2886
536.8 IPS |
|
|
Image Classification (Q)
|
96% |
2005
374.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7947
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16377
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14050
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
97% |
3317
264.1 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6713
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6772
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13275
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9156
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20684
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31852
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26818
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5804
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5574
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5976
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5997
103.6 IPS |
