iPhone 15 Pro
Geekbench AI Score
3637
Single Precision Score
6400
Half Precision Score
4961
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.4 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3095
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8350
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
16780
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14562
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3344
266.2 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6407
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12649
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8885
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19288
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29848
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16268
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2566
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6005
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5462
94.4 IPS |
