iPhone 15 Pro Max
Geekbench AI Score
3591
Single Precision Score
5399
Half Precision Score
4507
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | August 16 2024 11:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (Q)
|
99% |
2194
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1320
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7404
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
15529
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13523
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
2565
204.2 IPS |
|
|
Object Detection (Q)
|
94% |
1978
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
4936
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3088
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6194
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9467
73.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4857
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19633
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30162
38.8 IPS |
|
|
Style Transfer (Q)
|
100% |
30089
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5710
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4328
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5187
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5135
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4411
76.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4461
77.1 IPS |
