iPhone 15 Pro
Geekbench AI Score
4053
Single Precision Score
6921
Half Precision Score
5685
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 05:26 PM |
| Views | 2 |
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% |
1733
322.4 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.4 IPS |
|
|
Image Classification (Q)
|
96% |
2010
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3099
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8623
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17246
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14992
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
97% |
3376
268.8 IPS |
|
|
Object Detection (Q)
|
94% |
2399
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6904
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7276
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13720
106.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9471
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21845
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32784
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27725
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6119
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6162
106.5 IPS |
