iPhone 15 Pro Max
Geekbench AI Score
3931
Single Precision Score
6795
Half Precision Score
5583
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:45 AM |
| Views | 1 |
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
318.2 IPS |
|
|
Image Classification (HP)
|
100% |
2896
538.5 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3084
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8035
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16302
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14165
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3340
265.9 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6650
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7046
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13524
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9233
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20982
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32353
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27321
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5802
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4421
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5994
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6055
104.6 IPS |
