iPhone 15 Pro Max
Geekbench AI Score
3704
Single Precision Score
5460
Half Precision Score
4720
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Oosty |
| Upload Date | September 10 2024 02:08 AM |
| Views | 7 |
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% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.5 IPS |
|
|
Image Classification (Q)
|
96% |
1652
308.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7727
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16000
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13956
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
97% |
2561
203.9 IPS |
|
|
Object Detection (Q)
|
94% |
1968
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4912
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6215
47.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9565
73.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7178
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19985
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30327
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25569
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4588
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4393
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4474
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4455
77.0 IPS |
