iPhone 15 Pro Max
Geekbench AI Score
4127
Single Precision Score
4730
Half Precision Score
4260
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | franky2000 |
| Upload Date | August 15 2024 09:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1874
348.5 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
99% |
2097
391.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3837
62.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3886
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14940
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15941
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14573
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (Q)
|
92% |
2348
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
8619
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
6141
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11308
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12991
100.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13126
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29554
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35067
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34669
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6177
228.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6689
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5191
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
484
645.4 IPS |
|
|
Text Classification (HP)
|
100% |
508
678.1 IPS |
|
|
Text Classification (Q)
|
93% |
308
414.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1583
27.4 IPS |
