iPhone 15 Pro Max
Geekbench AI Score
3944
Single Precision Score
6917
Half Precision Score
5613
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 04:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.0 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3095
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8003
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
16496
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14377
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
97% |
3358
267.3 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6675
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3831
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7088
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13424
103.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9249
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21378
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33657
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27543
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6191
228.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6030
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6077
105.0 IPS |
