iPhone 15 Pro
Geekbench AI Score
3822
Single Precision Score
6701
Half Precision Score
5446
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:51 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% |
1691
314.5 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.6 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7586
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
15224
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12746
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
97% |
3310
263.5 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6719
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3751
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12927
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8925
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19785
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31178
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25987
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5740
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4346
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6071
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6076
105.0 IPS |
