iPhone 15 Pro
Geekbench AI Score
4007
Single Precision Score
6868
Half Precision Score
5628
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RWR |
| Upload Date | November 07 2024 09:41 PM |
| Views | 3 |
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% |
1740
323.6 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
2010
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3097
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8396
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
16976
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14659
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3379
269.0 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6543
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7235
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13505
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9363
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21473
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32492
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27690
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4416
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6059
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6055
104.6 IPS |
