iPhone 15 Pro Max
Geekbench AI Score
4060
Single Precision Score
6976
Half Precision Score
5674
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 23 2024 08:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1719
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.1 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8708
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17425
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14994
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
97% |
3365
267.9 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3898
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7302
56.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13616
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9418
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21818
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33561
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27874
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5195
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6100
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4509
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5657
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5656
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6070
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6035
104.3 IPS |
