iPhone 15 Pro Max
Geekbench AI Score
4950
Single Precision Score
5807
Half Precision Score
5193
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 10:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
1839
342.0 IPS |
|
|
Image Classification (Q)
|
97% |
1870
349.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3050
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3943
63.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4028
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14976
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15318
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13047
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
3122
247.7 IPS |
|
|
Object Detection (Q)
|
91% |
2395
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
6399
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
9007
107.0 IPS |
|
|
Face Detection (Q)
|
100% |
6438
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11673
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12892
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10724
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29351
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31736
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33612
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6298
232.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6653
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5358
197.8 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5503
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
897
15.5 IPS |
