iPhone 15 Pro Max
Geekbench AI Score
4994
Single Precision Score
6056
Half Precision Score
5385
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2233
415.3 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.1 IPS |
|
|
Image Classification (Q)
|
97% |
2144
400.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3864
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13769
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14421
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13609
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2787
221.0 IPS |
|
|
Object Detection (Q)
|
91% |
2379
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
8667
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
6085
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11119
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12055
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10312
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28045
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33162
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31106
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6343
234.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1409
24.3 IPS |
