iPhone 15 Pro
Geekbench AI Score
3996
Single Precision Score
6877
Half Precision Score
5626
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1734
322.4 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8308
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
16753
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14516
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
3376
268.8 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6815
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3877
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7094
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13527
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9346
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21253
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32719
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27518
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6098
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6033
104.3 IPS |
