iPhone 15 Pro Max
Geekbench AI Score
3613
Single Precision Score
5378
Half Precision Score
4650
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1725
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2054
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7473
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
15711
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13568
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
97% |
2541
202.3 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2773
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3069
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6034
46.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
9388
72.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7051
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19408
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29496
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25102
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4443
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5697
210.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4308
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5149
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4440
76.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4393
75.9 IPS |
