iPhone 15 Pro (NPU, LP) iPhone 15 Pro
Geekbench AI Score
1828
Single Precision Score
12334
Half Precision Score
15529
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yonis |
| Upload Date | August 15 2024 10:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
773
143.8 IPS |
|
|
Image Classification (HP)
|
100% |
6716
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
7209
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7150
115.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7215
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3622
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
47199
55.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
91385
107.2 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.2 IPS |
|
|
Object Detection (HP)
|
100% |
6527
517.7 IPS |
|
|
Object Detection (Q)
|
91% |
9441
754.4 IPS |
|
|
Face Detection (SP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
13250
157.4 IPS |
|
|
Face Detection (Q)
|
100% |
20567
244.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3177
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36232
279.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
38611
298.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9527
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74348
95.6 IPS |
|
|
Style Transfer (Q)
|
100% |
74178
95.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2344
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19024
702.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
32192
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2027
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4670
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4729
81.7 IPS |
