iPhone 15 Pro Max
Geekbench AI Score
3718
Single Precision Score
5449
Half Precision Score
4734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1746
324.7 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
96% |
1652
308.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2079
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7788
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
16197
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14075
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
2571
204.6 IPS |
|
|
Object Detection (Q)
|
94% |
1978
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6278
48.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
9579
74.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7265
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19932
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30282
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25610
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4682
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5767
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4375
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5181
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4468
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4465
77.2 IPS |
