iPhone 15 Pro Max
Geekbench AI Score
3802
Single Precision Score
6851
Half Precision Score
5589
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 06:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
2990
556.0 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3022
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7536
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15558
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13502
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1714
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3177
252.9 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6533
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3724
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6680
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12755
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8814
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20210
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33145
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27158
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4608
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5799
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6912
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6859
118.5 IPS |
