iPhone 15 Pro
Geekbench AI Score
3917
Single Precision Score
6795
Half Precision Score
5916
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:39 AM |
| Views | 2 |
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% |
1712
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
99% |
2888
538.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2395
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7726
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15991
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13973
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
97% |
3311
263.6 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3823
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7032
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13480
104.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13495
104.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20776
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31970
41.1 IPS |
|
|
Style Transfer (Q)
|
100% |
31983
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4254
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6104
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6087
105.2 IPS |
