iPhone 15 Pro Max
Geekbench AI Score
3365
Single Precision Score
6101
Half Precision Score
4976
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:16 PM |
| Views | 2 |
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% |
1495
278.1 IPS |
|
|
Image Classification (HP)
|
100% |
2810
522.5 IPS |
|
|
Image Classification (Q)
|
96% |
1901
355.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6910
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
12843
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11837
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
5031
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
2912
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5585
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11712
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8133
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18181
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29024
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24812
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5713
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4061
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5651
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5790
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5762
99.6 IPS |
