iPhone 15 Pro Max
Geekbench AI Score
3910
Single Precision Score
6782
Half Precision Score
5978
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | abhimanbhau |
| Upload Date | August 30 2024 10:23 PM |
| Views | 3 |
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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2936
545.9 IPS |
|
|
Image Classification (Q)
|
99% |
2920
544.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2501
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8168
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16610
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14126
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6532
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3818
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6655
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12945
100.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13099
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19930
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31554
40.6 IPS |
|
|
Style Transfer (Q)
|
100% |
31906
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4372
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5991
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6012
103.9 IPS |
