iPhone 15 Pro
Geekbench AI Score
3527
Single Precision Score
5290
Half Precision Score
4407
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Ktest |
| Upload Date | August 15 2024 07:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
99% |
2188
408.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1316
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7087
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
14583
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12801
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
2512
200.0 IPS |
|
|
Object Detection (Q)
|
94% |
1902
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4731
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
3019
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5759
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9375
72.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4768
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18547
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28721
36.9 IPS |
|
|
Style Transfer (Q)
|
100% |
28752
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5648
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4148
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5081
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4454
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4485
77.5 IPS |
