iPhone 15 Pro
Geekbench AI Score
3776
Single Precision Score
6691
Half Precision Score
5408
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:46 PM |
| Views | 1 |
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% |
1546
287.5 IPS |
|
|
Image Classification (HP)
|
100% |
2737
509.0 IPS |
|
|
Image Classification (Q)
|
96% |
1827
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3020
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7148
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14841
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13264
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1714
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3281
261.2 IPS |
|
|
Object Detection (Q)
|
94% |
2317
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3756
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13056
100.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8869
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19859
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31245
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26577
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4318
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6056
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6007
103.8 IPS |
