iPhone 15 Pro Max
Geekbench AI Score
3820
Single Precision Score
6774
Half Precision Score
5546
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 11:12 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.9 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2992
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7434
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15878
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13774
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
3281
261.2 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6455
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
3755
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13187
101.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9142
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20886
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32160
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27234
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4555
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5927
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6021
104.0 IPS |
