iPhone 15 Pro Max
Geekbench AI Score
4027
Single Precision Score
6905
Half Precision Score
5640
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | miso0001 |
| Upload Date | December 08 2024 06:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1723
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8599
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14641
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3364
267.8 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6824
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3909
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7233
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13566
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9408
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21725
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32790
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27655
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6026
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6037
104.3 IPS |
