iPhone 15 Pro
Geekbench AI Score
3816
Single Precision Score
6715
Half Precision Score
5472
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 23 2024 11:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1640
304.9 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2010
375.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7390
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
15166
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13382
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2315
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6683
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3758
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13072
101.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8863
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19981
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31192
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26364
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4336
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6227
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6096
105.4 IPS |
