iPhone 15 Pro
Geekbench AI Score
3973
Single Precision Score
6907
Half Precision Score
5626
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 07:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1713
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8103
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
16512
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14353
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
97% |
3361
267.6 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3918
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7046
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13434
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9316
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21408
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32729
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27547
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5780
213.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6308
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6121
105.8 IPS |
