iPhone 15 Pro Max
Geekbench AI Score
3611
Single Precision Score
6465
Half Precision Score
5239
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 19 2024 01:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1505
279.8 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2920
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14664
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12332
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
97% |
3195
254.4 IPS |
|
|
Object Detection (Q)
|
94% |
2194
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3528
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6468
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12607
97.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8437
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18019
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29523
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25003
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4121
152.2 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5737
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5819
100.6 IPS |
