iPhone 15 Pro Max
Geekbench AI Score
4069
Single Precision Score
25383
Half Precision Score
34709
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
10920
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15134
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15479
250.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20640
334.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8577
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107307
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
204028
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
13861
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18848
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
33860
402.3 IPS |
|
|
Face Detection (Q)
|
100% |
49479
587.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7310
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78350
603.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125265
979.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22236
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204847
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
249236
321.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34903
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59002
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3000
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7644
131.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7726
133.5 IPS |
