iPhone 15 Pro Max
Geekbench AI Score
4959
Single Precision Score
5953
Half Precision Score
5369
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 26 2025 11:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2193
407.8 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.4 IPS |
|
|
Image Classification (Q)
|
97% |
2272
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3755
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13351
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14240
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13358
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
2716
215.5 IPS |
|
|
Object Detection (Q)
|
91% |
2321
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
6216
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
8415
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
6021
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10875
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12003
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10661
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27225
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32074
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30444
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6324
233.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5674
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1366
23.6 IPS |
