iPhone 15 Pro Max
Geekbench AI Score
4781
Single Precision Score
5659
Half Precision Score
5133
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jessy |
| Upload Date | September 09 2024 01:40 PM |
| Views | 32 |
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% |
1889
351.3 IPS |
|
|
Image Classification (HP)
|
100% |
1670
310.7 IPS |
|
|
Image Classification (Q)
|
97% |
1798
335.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2663
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3837
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14602
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15567
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14454
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (HP)
|
100% |
2900
230.0 IPS |
|
|
Object Detection (Q)
|
91% |
2366
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
7841
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
6035
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10988
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12430
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10121
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28669
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35065
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32418
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6179
228.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6339
234.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
