iPhone 15 Pro Max
Geekbench AI Score
4897
Single Precision Score
5772
Half Precision Score
5232
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1761
327.6 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.5 IPS |
|
|
Image Classification (Q)
|
97% |
1800
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3003
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3972
64.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4013
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15105
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15923
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14686
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
2775
220.1 IPS |
|
|
Object Detection (Q)
|
91% |
2426
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
6295
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
8768
104.2 IPS |
|
|
Face Detection (Q)
|
100% |
6265
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11478
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12999
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10440
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29807
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34587
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32188
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6414
236.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6584
243.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5440
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
