iPhone 15 Pro Max
Geekbench AI Score
3964
Single Precision Score
20670
Half Precision Score
26677
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | holgr |
| Upload Date | August 15 2024 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
11407
2.12 KIPS |
|
|
Image Classification (Q)
|
99% |
13111
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10894
176.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
10799
175.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8369
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
103348
120.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
199388
233.9 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
12913
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
18751
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
21518
255.7 IPS |
|
|
Face Detection (Q)
|
100% |
35539
422.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7034
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64494
496.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
73999
572.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21342
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
138506
178.1 IPS |
|
|
Style Transfer (Q)
|
100% |
137815
177.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34122
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
57631
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2343
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6061
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
