iPhone 15 Pro
Geekbench AI Score
3823
Single Precision Score
5559
Half Precision Score
4639
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Soerensen01 |
| Upload Date | August 15 2024 06:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1741
323.7 IPS |
|
|
Image Classification (HP)
|
100% |
2224
413.7 IPS |
|
|
Image Classification (Q)
|
99% |
2203
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1349
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17042
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14567
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
97% |
2619
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5030
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
3213
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6531
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9774
75.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
5087
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20884
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30824
39.6 IPS |
|
|
Style Transfer (Q)
|
100% |
30715
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4907
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4402
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5251
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5302
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2833
48.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4552
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4523
78.2 IPS |
