iPhone 15 Pro
Geekbench AI Score
4028
Single Precision Score
6942
Half Precision Score
5670
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 01:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1718
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.5 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17096
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14718
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3377
268.8 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6849
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7225
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13663
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9436
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21749
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32929
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27637
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6190
228.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4487
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5672
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6077
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6144
106.2 IPS |
