iPhone 15 Pro (NPU) iPhone 15 Pro
Geekbench AI Score
4008
Single Precision Score
21498
Half Precision Score
27684
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yonis |
| Upload Date | August 15 2024 09:42 PM |
| Views | 8 |
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% |
1727
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
11106
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
13096
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10644
172.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
10737
174.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8141
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
102271
119.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
198163
232.4 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
12887
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
18558
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
21792
258.9 IPS |
|
|
Face Detection (Q)
|
100% |
35583
422.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7158
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
65302
503.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
74206
573.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21320
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
138451
178.0 IPS |
|
|
Style Transfer (Q)
|
100% |
138577
178.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34305
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
57654
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3275
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6686
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7403
127.9 IPS |
