iPhone 15 Pro
Geekbench AI Score
3719
Single Precision Score
5476
Half Precision Score
4565
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | demonknight9 |
| Upload Date | August 16 2024 05:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1746
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
2210
410.9 IPS |
|
|
Image Classification (Q)
|
99% |
2196
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1346
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7718
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
16223
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13871
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.2 IPS |
|
|
Object Detection (HP)
|
97% |
2581
205.5 IPS |
|
|
Object Detection (Q)
|
94% |
1985
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4941
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3143
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6161
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9491
73.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4925
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20170
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30382
39.1 IPS |
|
|
Style Transfer (Q)
|
100% |
30482
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4326
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5212
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5212
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4537
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4542
78.5 IPS |
