iPhone 15 Pro Max
Geekbench AI Score
3919
Single Precision Score
6875
Half Precision Score
5567
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.3 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2983
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7788
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15961
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13930
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
3319
264.2 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6594
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3794
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6988
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13349
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9193
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20621
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32351
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27185
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4460
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6083
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6149
106.3 IPS |
