iPhone 15 Pro Max
Geekbench AI Score
4914
Single Precision Score
5915
Half Precision Score
5232
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 12:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1929
358.7 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.1 IPS |
|
|
Image Classification (Q)
|
97% |
1819
339.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3929
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3968
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15001
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15876
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14669
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
2944
233.5 IPS |
|
|
Object Detection (Q)
|
91% |
2338
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
6305
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
8785
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
6254
74.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11385
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12583
96.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10602
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29272
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35482
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32488
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6359
234.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6650
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5436
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
960
16.6 IPS |
