iPhone 15 Pro
Geekbench AI Score
4967
Single Precision Score
5931
Half Precision Score
5227
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brett2032 |
| Upload Date | November 10 2024 06:44 AM |
| Views | 15 |
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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
2438
453.3 IPS |
|
|
Image Classification (Q)
|
97% |
1951
364.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3758
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13207
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14120
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13253
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
2873
227.9 IPS |
|
|
Object Detection (Q)
|
91% |
2300
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
6229
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
8333
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
6031
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10808
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11804
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10274
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28271
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32063
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30391
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5920
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6127
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1363
23.6 IPS |
