iPhone 15 Pro Max
Geekbench AI Score
2687
Single Precision Score
14058
Half Precision Score
16067
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | August 16 2024 11:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
7133
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5208
84.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5390
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7453
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
87740
102.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
125729
147.5 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
8264
655.5 IPS |
|
|
Object Detection (Q)
|
93% |
9075
724.1 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
11135
132.3 IPS |
|
|
Face Detection (Q)
|
100% |
13658
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4533
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42835
330.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
49170
380.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12041
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
128006
164.6 IPS |
|
|
Style Transfer (Q)
|
100% |
128752
165.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18372
678.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27234
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1816
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
4707
6.77 KIPS |
|
|
Text Classification (Q)
|
69% |
4687
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2369
40.9 IPS |
