iPhone 15 Pro
Geekbench AI Score
2237
Single Precision Score
13051
Half Precision Score
14529
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:20 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
6167
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
6770
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5225
84.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5200
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7598
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
89161
104.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
134409
157.7 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
8040
637.7 IPS |
|
|
Object Detection (Q)
|
93% |
8434
673.0 IPS |
|
|
Face Detection (SP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
8161
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
6279
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4188
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42540
327.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
50613
391.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8345
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
100019
128.6 IPS |
|
|
Style Transfer (Q)
|
100% |
126158
162.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18782
693.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25488
944.3 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
71% |
4199
6.04 KIPS |
|
|
Text Classification (Q)
|
69% |
4604
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2267
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2233
38.6 IPS |
