iPhone 15 Pro Max
Geekbench AI Score
4086
Single Precision Score
4780
Half Precision Score
4165
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | August 15 2024 06:53 PM |
| Views | 16 |
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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
2179
405.2 IPS |
|
|
Image Classification (Q)
|
99% |
1844
344.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2954
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3858
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14693
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15419
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13161
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (Q)
|
92% |
2229
177.9 IPS |
|
|
Face Detection (SP)
|
100% |
6326
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
8758
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
5825
69.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11466
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12899
99.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13262
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29408
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34196
44.0 IPS |
|
|
Style Transfer (Q)
|
100% |
35807
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6186
228.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5332
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.2 IPS |
|
|
Text Classification (HP)
|
100% |
515
686.8 IPS |
|
|
Text Classification (Q)
|
93% |
310
415.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1647
28.5 IPS |
