iPhone 15 Pro Max
Geekbench AI Score
4107
Single Precision Score
4765
Half Precision Score
4253
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pu154r |
| Upload Date | August 16 2024 10:07 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% |
1632
303.4 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
99% |
2019
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3906
63.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14929
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16000
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14681
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
3019
239.5 IPS |
|
|
Object Detection (Q)
|
92% |
2191
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
6412
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8568
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
5979
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11579
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12986
100.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13352
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29688
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35122
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
36058
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6210
229.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6559
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5209
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
471
629.1 IPS |
|
|
Text Classification (HP)
|
100% |
488
651.8 IPS |
|
|
Text Classification (Q)
|
93% |
316
423.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1611
27.8 IPS |
