iPhone 15 Pro
Geekbench AI Score
3712
Single Precision Score
5500
Half Precision Score
4580
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 12:25 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2199
408.9 IPS |
|
|
Image Classification (Q)
|
99% |
2201
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1335
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7679
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
16274
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13933
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
97% |
2607
207.5 IPS |
|
|
Object Detection (Q)
|
94% |
1985
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
4940
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3180
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6251
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9671
74.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
5003
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20223
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30495
39.2 IPS |
|
|
Style Transfer (Q)
|
100% |
30718
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4702
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4356
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5263
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5180
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4526
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4541
78.5 IPS |
