iPhone 15 Pro Max
Geekbench AI Score
3729
Single Precision Score
24145
Half Precision Score
35109
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 12:28 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
10872
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15461
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16556
268.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21144
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7121
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
101008
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204403
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.5 IPS |
|
|
Object Detection (HP)
|
100% |
14053
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19598
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
36434
432.9 IPS |
|
|
Face Detection (Q)
|
100% |
52456
623.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6632
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78136
602.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
126441
988.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19507
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207868
267.2 IPS |
|
|
Style Transfer (Q)
|
96% |
255810
330.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33974
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59909
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (Q)
|
93% |
2827
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6504
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7564
130.7 IPS |
