iPhone 15 Pro Max
Geekbench AI Score
4947
Single Precision Score
5892
Half Precision Score
5241
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | September 26 2024 06:04 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
2095
389.5 IPS |
|
|
Image Classification (Q)
|
97% |
1969
367.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3981
64.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4023
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15172
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15839
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15007
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
2800
222.1 IPS |
|
|
Object Detection (Q)
|
91% |
2371
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
6408
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
8848
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
6226
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11725
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12736
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10933
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29455
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34574
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33393
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6295
232.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5323
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
