iPhone 15 Pro Max
Geekbench AI Score
3656
Single Precision Score
5388
Half Precision Score
4499
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Wolfe |
| Upload Date | August 16 2024 01:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
99% |
2202
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1328
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7541
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15700
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13531
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
2520
200.6 IPS |
|
|
Object Detection (Q)
|
94% |
1959
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4857
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9249
71.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4864
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19674
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29468
37.9 IPS |
|
|
Style Transfer (Q)
|
100% |
29717
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4600
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4286
158.8 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2781
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4467
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4457
77.0 IPS |
