iPhone 15 Pro Max
Geekbench AI Score
2738
Single Precision Score
14009
Half Precision Score
15758
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | visy |
| Upload Date | August 17 2024 02:12 AM |
| Views | 5 |
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% |
1468
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
6215
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6754
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5197
84.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5185
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7891
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
88292
103.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
139149
163.2 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
8175
648.5 IPS |
|
|
Object Detection (Q)
|
93% |
9955
794.4 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
11177
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
12932
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4626
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42882
330.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
48178
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12473
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
127843
164.3 IPS |
|
|
Style Transfer (Q)
|
100% |
127936
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18306
675.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25962
961.9 IPS |
|
|
Text Classification (SP)
|
100% |
1733
2.31 KIPS |
|
|
Text Classification (HP)
|
71% |
4516
6.49 KIPS |
|
|
Text Classification (Q)
|
69% |
3877
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2426
41.9 IPS |
