iPhone 15 Pro
Geekbench AI Score
3994
Single Precision Score
24955
Half Precision Score
34994
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 05:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
10911
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15206
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15758
255.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20593
333.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8285
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
107214
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
201762
236.5 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
13779
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18714
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
35762
424.9 IPS |
|
|
Face Detection (Q)
|
100% |
50552
600.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7086
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77993
600.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127209
994.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21492
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203651
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247851
319.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33783
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57574
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3153
4.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3463
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6095
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7331
126.7 IPS |
