iPhone 15 Pro Max
Geekbench AI Score
4065
Single Precision Score
6918
Half Precision Score
5652
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 05:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1702
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.2 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3074
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8943
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17417
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15060
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
97% |
3380
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6833
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3901
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7232
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13692
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9400
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22415
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33039
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27765
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6078
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6078
105.0 IPS |
