iPhone 15 Pro Max
Geekbench AI Score
1622
Single Precision Score
3285
Half Precision Score
2377
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 09:14 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% |
1151
214.0 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
96% |
915
170.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2069
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
9994
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
4168
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
945
74.9 IPS |
|
|
Object Detection (HP)
|
97% |
936
74.5 IPS |
|
|
Object Detection (Q)
|
94% |
904
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (Q)
|
100% |
1419
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3793
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4603
35.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6174
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4745
6.10 IPS |
|
|
Style Transfer (HP)
|
100% |
11356
14.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9303
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1196
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5761
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3774
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2081
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2201
38.0 IPS |
