iPhone 15 Pro
Geekbench AI Score
5066
Single Precision Score
6218
Half Precision Score
5352
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2208
410.5 IPS |
|
|
Image Classification (HP)
|
100% |
2309
429.3 IPS |
|
|
Image Classification (Q)
|
97% |
2294
428.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3725
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3783
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13181
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14062
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13279
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2326
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
6212
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
8386
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
5797
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11104
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11974
92.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10353
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27207
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32134
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30326
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6378
235.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5733
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1380
23.8 IPS |
