iPhone 15 Pro Max
Geekbench AI Score
3985
Single Precision Score
25303
Half Precision Score
35598
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Andji |
| Upload Date | April 11 2025 12:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
11453
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
16444
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16418
266.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21727
352.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7762
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
108174
126.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205119
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
13735
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18827
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3143
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33524
398.3 IPS |
|
|
Face Detection (Q)
|
100% |
51301
609.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7048
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78074
601.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
126984
992.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21869
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206939
266.0 IPS |
|
|
Style Transfer (Q)
|
96% |
255485
329.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5044
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33233
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57007
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3312
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6250
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7539
130.3 IPS |
